Department of B.Sc. (CA)
Programs and Course Outcomes
Program Outcome
Course Outcome
- F. Y. B.Sc.(CA)
- S. Y. B.Sc.(CA)
- T.Y.B.C.A. (Science)
- M.Sc(CA)
Department of B.Sc. (CA)
Programs and Course Outcomes
Program Outcome
Course Outcome
- F. Y. B.Sc.(CA)
- S. Y. B.Sc.(CA)
- T.Y.B.C.A. (Science)
- M.Sc(CA)
B.Sc(Reg.)
Establishment / Milestones
The B.Sc. (Regular) Department was established in 2016 with an initial intake of 19 students. Currently, the department caters to around 150 students, offering specializations in Statistics and Chemistry. The department was founded with the primary objective of fostering scientific aptitude, skills, and awareness among students, grounded in a strong foundation of basic sciences. The program is designed to cultivate a scientific temper, encouraging independent thought, logical reasoning, and the ability to make rational and informed decisions. It also promotes an interdisciplinary approach to knowledge, aiming to empower students to contribute meaningfully to a dynamic and evolving society.
B.Sc. (Statistics)
Duration: 4 Years
Eligibility:
Eligibility: Higher secondary school certificate (10+2) or its equivalent examination with English & Mathematics & with any three science subjects such as Physics, Chemistry, Biology, Geography, Geology etc.
Highlights – B.Sc. (Statistics)
- Highly Qualified Faculty (Ph.D., NET, SET)
- Expert Career Guidance
- Field Visits & Industrial Exposure
- Hands-On Training Sessions
- Guest Lectures, Seminars & Workshops
- Personalized Mentoring Support
- Participation in Science Association for Holistic Development
Value Addition – B.Sc. (Statistics)
- Training and Placement Cell – Pratibha Finishing School
- Pre-placement Activities & Soft Skills Training
- Plastic Waste Collection Drives
- “Best Out of Waste” Activities
- Environmental Sustainability Initiatives
- Cancer Awareness Program Mentoring
Facilities and Resources – B.Sc. (Statistics)
- Smart Digital Classrooms
- Well-equipped Computer Labs
- High-End Systems with Latest Statistical & Analytical Software
Career Opportunities – B.Sc. (Statistics)
- Data Analyst / Business Analyst
- Statistical Officer (Govt. Agencies)
- Market Research Analyst
- Banking and Financial Analyst
- Actuarial Analyst
- Quality Control Analyst
- Research Assistant
- Biostatistician
- Higher Education
- Competitive Exams: UPSC, MPSC, CSIR-NET, GATE
B.Sc. (Chemistry)
Duration: 4 Years
Eligibility:
Eligibility: Higher secondary school certificate (10+2) or its equivalent examination with English with any three science subjects such as Physics, Chemistry, Biology, mathematics, Geography, Geology etc.
Highlights – B.Sc. (Chemistry)
- Highly Qualified Faculty (Ph.D., NET, SET)
- Expet Career Guidance
- Field Visits & Industrial Exposure
- Hands-On Training Sessions
- Guest Lectures, Seminars & Workshops
- Personalized Mentoring Support
- Participation in Science Association for Holistic Development
Value Addition – B.Sc. (Chemistry)
- Training and Placement Cell – Pratibha Finishing School
- Pre-placement Activities & Soft Skills Training
- Plastic Waste Collection Drives
- “Best Out of Waste” Activities
- Environmental Sustainability Initiatives.
- Cancer Awareness Program Mentoring
Facilities and Resources – B.Sc. (Chemistry)
- Smart Classrooms
- Modern Computer Labs with Chemistry Software & Simulations
- Well-Equipped Chemistry Laboratories
Career Opportunities – B.Sc. (Chemistry)
- Lab Technician / Chemical Analyst
- QA/QC Roles in Pharma & Chemical Industries
- Research Assistant
- Environmental & Analytical Chemist
- Production Chemist
- Science Communicator / Technical Writer
- Higher Studies: M.Sc., Environmental Science, etc.
- Competitive Exams: UPSC, MPSC, CSIR-NET, GATE
In 2016 B.Sc. (regular) Department was established with 19 students and currently around 150 students are part of our department. This department was created with specific objectives of developing skills, aptitude and awareness amongst the students with basic knowledge of sciences. The present program will develop scientific attitude and ability to think independently and take rational and appropriate decisions at various levels of logical thinking. It also aims to develop knowledge from an interdisciplinary perspective and to empower the youth in future applicable society.
Department of Science B.Sc(Reg.)
Bachelor of Science (B.Sc ) program is an undergraduate degree of four years duration:
- Designed to nurture scientific aptitude and research-oriented thinking
- Emphasizes calculative approaches and systematic methods
- Focuses on experimentation, research, and discovery
- Integrates both theoretical and practical modes of learning
Program Objectives
- Promote & Encourage scientific inquiry-based, high-quality science education
- Disseminate knowledge from an interdisciplinary perspective
- Empower students with applicable and relevant scientific skills
Core Learning Goals
- Stress on critical thinking and logical reasoning
- Develop skills using:
- Observation
- Comparison
- Experimentation
- Mathematical manipulation of data
Commitment to Practical Applications
- Emphasis on real-world relevance of science
- Foster an understanding of science as:
- An interdisciplinary field
- A tool for societal advancement
- A discipline with practical applications across various domains
Induction Programme for Fresher’s
Industry and Excursion Tours
Industry-Academia Extension Lectures
Ph.D. /NET/SET qualified and approved faculty members with corporate exposure
Placement of Students with top companies
Focus on Experiential Learning in the form of field visit, project and so on
State Level Seminars and Workshop are organised
Excellent Infrastructure with spacious class rooms
Seminars and Guest Lectures by Industrialists and subject experts to update the current trend
Start-up are encouraged for students to get the practical exposure.
Student mentoring system
Earn and Learn scheme
Experience shared by alumni’s and industrialists.
Alumni provide Experiment based training and hands-on training.
Various Departmental activities like
National Level Model making Competition Sci-Fest, Group discussion, Online Quiz Competition, Oral Presentation Competition, Poster Making Competition, Quiz competitions, Sci-ExActa-Science Stories/Act/Movie Making, Birth anniversary celebration and Guest lectures are taken.
Remedial lectures are conducted.
Science Association club is established to nurture the student’s talent and creativity.
Separate classrooms for each class and for optional subjects.
Classrooms are well equipped with smart board and projectors.
Well-equipped labs for Physics, Chemistry, Botany & EVS.
Computer Labs with projectors & required software’s are available for Mathematics & Statistics Practical.
A separate cabin for head of the department and a common staff room.
Computers and laptops are available for teachers.
Printer is available in the department.
Departmental library with more than 200 plus books
1. Science Association
2. RBPT (Research Based Pedagogical Tools)
3. Social responsibility – No Vehicle Day
4. Learning through Statistical games
5. Listing of plant species in Campus
6. Industrial Visit/ Field Visit to esteem organizations, to provide practical knowledge to students like
“Baramati –Industrial Visit to Peppermint textile park, KVK ” Visited on 16 December 2022.
“Malavali Field Visit” visited on 17 August 2022.
“Baramati –Industrial Visit to Peppermint textile park, KVK ” visited on 16 December 2022.
Visited “Solid Waste Management ,Waste water process & Recycling Expo-” on 21st January 2023.
On the occasion of National Science day, the excursion study visit of B.Sc. students to the research institutes like “IISER, NCL and various departments (Botany, Physics) of SavitribaiPhule Pune University, Pune” to gain practical knowledge through the science exhibition on 28th February 2023.
Social Responsibility Activity with VatsalyaMatimand School Every year during Diwali. we help to sells Diwali Diyas at college premises made by Physically challenged students.
| Name of the Faculty | Designation | Qualification | Experience | Photo |
|---|---|---|---|---|
| Dr. Jayashree Muley | IQAC Director | M.Sc. (Statistics), Ph.D., M.B.A. Finance, Post Graduate Diploma in Computer Science | 22 years |  |
| Dr. Rajeshree Nanaware | Program Coordinator | M.Sc. (Mathematics), B.Ed., SET, Ph.D | 15 years |  |
| Dr. Surekha Jogdand | Assistant Professor | M.Sc. (Chemistry), Ph.D. | 12 years |  |
| Dr. Nisha Choudhari | Assistant Professor | M.Sc. (Botany), Ph.D | 7 years |  |
| Dr. Yogesh Jorapur | Assistant Professor | M.Sc. (Chemistry), Ph.D., Postdoc (Japan, S. Korea) | 2 yrs. Piramal Discovery Pharma; 8 yrs Postdoc (Japan/S. Korea); 2 yrs PG & 6 yrs UG teaching |  |
| Dr. Seema Barge | Assistant Professor | M.Sc. (Chemistry), Ph.D. | 5 years |  |
| Mrs. Ragini Chavan | Assistant Professor | M.Sc. (Statistics), Ph.D. (Pursuing) | 11 years |  |
| Suruchi S. Somwanshi | Assistant Professor | M.Sc. (Statistics), M.Sc. (Mathematics) | 11 years |  |
| Dr. Priti Kolhe | Assistant Professor | M.Sc., Ph.D. (Environmental Science) | 11 years |  |
| Mr. Suklal Kumbhar | Assistant Professor | M.Sc. (Statistics), SET | 10 years |  |
| Mr. Rokey Lopes | Assistant Professor | M.Sc. (Statistics) | 4 years |  |
| Mrs. Amola Jeure | Assistant Professor | M.Sc. (Mathematics), B.Ed., SET | 5 years |  |
| Mrs. Asmita Shrikant Sutar | Assistant Professor | M.Sc. (Statistics), B.Ed. | 7 years |  |
| Mrs. Shraddha Bhilare | Assistant Professor | M.Sc. (Physics), B.Ed. | 7 years |  |
| Mrs. Vishakha Kshirsagar | Assistant Professor | M.Sc. (Mathematics), B.Ed. | 3 years |  |
Faculty Achievements
Dr. Jayashree Muley:
- Chairman for syllabus reframing committee of Second Year B. Sc. Statistics of Savitribai Phule Pune University.
- Chairman for paper setting of Second Year B. Sc. Statistics and S.Y. M.Sc Statistics of Savitribai Phule Pune University.
- Coordinator for the practical Exam of Second Year B. Sc. Statistics of Savitribai Phule Pune University.
- Paper reviewer at MIT A.C.S.C. Alandi & Fergusson College Pune.
- Attended workshop on “Kachara Nako g Bai” between 12th to 15 February 2025 in online mode organized by Green Works Trust.
- Attended “Happiness Program” by Sri Sri Ravishankar, Aishwaryam Ventures Group.
Dr. Rajeshree Nanaware:
- Attended One Day Syllabus Framing Workshop for S.Y.B.Sc Mathematics (As per NEP2020) on 22nd April 2025.
- Invited as Resource Person for “One day Workshop on Python Programming in Mathematics for SYBSc(CS)at CCS College Wakad on 26th October 2024
- Completed “One Week Online Workshop on Mathematics Towards Machine Learning “
- Completed Online Certificate Course Cum Workshop of 32 hours on “AI AND GOOGLE TOOLS IN EDUCATION” organized by Sanatan Dharma College, Ambala Cantt from 21 th Nov 2024 to 30 th Nov 2024 with “A” Grade.
Dr. Surekha Jogdand
- Published paper in scopus indexed Journal Surekha Jogdand, Polyhedron, 2025
- Presented paper in International Workshop “Recent Advancement in Magnetism and Magnetic Materials” November 2024 organized by VIT -AP University, AndhraPradesh
- Participated in IP awareness training Program under NIPAM, October 2024
- Completed online faculty development program on”Advanced Functional Material-current research Innovation and Application “June 2024 organized by MIT and Maharashtra academy of Science
Dr. Nisha Choudhari
- Participated and presented posters in Two days International Conference on “Agriculture, Environment and Life Sciences” on dated 21st and 22nd February 2025.
- Under the Science stream Selected as a sub-committee member of S.Y. BSc. Botany syllabus framing/Setting as per NEP (2020) pattern.
- completed 3-day online course of Environmental Analytics: Basics of R Programming and Data Processing in Ecology, conducted by THE GREEN CONCEPT INSTITUTE FOR CARBON ASSESSMENT AND RESTORATION ECOLOGY, on 26 th to 28th July 2024.
- Completed Yoga teacher training level 1 and level 2 -Yog Pravesh and Yog Parichay, Central Government of India Aayush Mantralya Recognized, Yog-Vidyadham Nashik, Maharashtra, India.
- Appointed for Examination Work as Paper setter, Practical External examiner and Paper checking and moderator from SPPU, Pune.
- worked as Botanist – to Identification of Native and Exotic Tree species and seed storage methods as a free lance work and Social Awareness under CSIR Drive organized by “The Explores” trecking group.
Dr. Seema Patil
- Participated in IP awareness training Program under NIPAM, October 2024.
Dr. Yogesh Jorapur
- Jorapur, Y. R.; Shah, D.; Kankariya, R. “Synthesis, Bio-activity, and Spectral Characterization of Different 1,4-Naphthoquinone Derivatives and their Metal Chelates Proceedings of the National Conference on Advanced Materials and Spectoscopy (NCAMS-2024), Aug., 22-23, 2024 (ISBN 978-81-978426-5-8).
- Jorapur, Y. R.; Chaudhari, N. R.; Kulkarni, A.; Chatterjee, T.; Velhal, S. “Chemical, Nutritional, and Biomolecular Characteristics of Finger Millet (Eleusine coracana L.). Afr. J. Biol. Sci., 2024, 6 (12), 967–978 (ISSN 2663–2187); doi: 10.48047/AFJBS.6.12.2024.967-978.
- Three Months Internship; Ten Students were Mentored in a Community Outreach Program on “Cancer Awareness” in collaboration with the Indian Cancer Society, Delhi, and Guru Angad Dev Teaching Learning Centre, SGTB Khalsa College, University of Delhi under PMMMNMTT of Ministry of Education between 1st Feb. to 30th April 2024.
- Acted as Resource Person and Delivered Talk on “Research Paper: Citations & Impact Factor” as part of Two Day National Level Faculty Development Programme (Online) titled “Research Paper and Project Proposal Writing”, Organized by A.C.T Academy, Keralam and SVCET, Andhra Pradesh (Feb. 7 & 8, 2025)
- Appreciation Certificate for Mentoring the IDEARUN 2024 Presentation, “Digital Marketing to Boost Home-Based Businesses” in the online event Organized by South Asia Working Group, IEEE Smart Village, Gandhinagar, September, 21, 2024.
- Appointment as an Institute for Educational Research and Publication (IFERP) Review Committee Member, Since September, 28, 2024.
- Five Days Online Research Development Program (RDP) on the theme of “Research Methodology and Ethics in Research” Organized by Pune Institute of Business Management for PGDM from Jan. 20-24, 2025.
- Five Days National Level Workshop on “Frontiers In Chemical Research: Innovations And Applications” Organized by Department of Chemistry, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai from February, 17-21, 2025
- One Day National Level Research Workshop (Virtual Mode) on “Techniques to Publish Research Papers in Peer-Reviewed Journals”, Organized by A.C.T Academy, Kerala on Dec. 05, 2024.
- One-Week Virtual Research Faculty Development Program on “Research Methodology” from June 10-15, 2024, organized by Pune Institute of Business Management for PGDM, Savitribai Phule Pune University.
- Invited as an external practical examiner for End Semester Practical/Skill Examination to examine the candidates in Course-Engineering Chemistry (AUTO 3103), for Sem-I, of program-B.Tech. Automobile, at Symbiosis Skills & Professional University, Kiwale, Pune (May 6 & 7, 2025)
- Invited as an external practical examiner for FYMSc. (Organic Chemistry) at Department of Chemistry at Modern College of Arts, Science, and Commerce, Ganeshkhind, Pune (April 09, 2025)
- Invited as an external practical examiner for SYMSc. (Organic Chemistry) at Department of Chemistry at Modern College of Arts, Science, and Commerce, Ganeshkhind, Pune (March 22-25, 2025)
- Invited as an external practical examiner for TYMSc. (Organic Chemistry) at Department of Chemistry at Modern College of Arts, Science, and Commerce, Ganeshkhind, Pune (March 12, 2025)
15.Invited as an external practical examiner for End Semester Practical/Skill Examination to examine the candidates in Course-Engineering Chemistry (AUTO 3103), for Sem-I, of program-B.Tech. Automobile, at Symbiosis Skills & Professional University, Kiwale, Pune (Dec. 03, 2024).
Mrs.Amola Jeure
Attended One Day National Conference on Recent Developments in Pure and Applied Mathematics organized by P.A.H. Solapur University Solapur on 24th February 2025.
Mr. Suklal Kumbhar: Ph.D registration in Statistics
Students’ Achievements:
- Sneha Sharma – Secured second rank in the intra-college Book Review Competition organised by KRC under the Maharashtra Project.
- Shravan Malpote –
- Awarded Pratibha Merit Cum Income (EWS) Scholarship.
- Participated in State Level Open Chess Tournament, Genba Sopanrao Moze College of Engineering.
- Secured first prize in Sci_Quizathon organised by Department of Science, Pratibha College under Pragyan 2.0.
- Participated in Chess Competition organised by PCCCS.
- Secured first prize in Flashcard Fun organised by Department of Science, Pratibha College under Pragyan 2.0.
- Shivangi Chauhan – Participated in Indian Swachhata League 2.0 organised by Pimpri Chinchwad Municipal Corporation.
- Participated in Chemistry Poster Competition during Desai Karandak 2k24-25 at H.V. Desai College.
- Attended workshop on Astrobiology and Astronauts by LIFE-To and Beyond Foundation at Indian Science Festival, Fergusson College.
- Maithili Raut – Received first rank in Water Heritage Trust Competition organised by PCMC.
- Maithili Raut – Participated in Chemistry Poster Competition at Desai Karandak 2k24-25, H.V. Desai College.
- Bhagyshree Chakravarti –
- Participated in ACT Concept Test in Chemistry organised by Association of Chemistry Teachers.
- Bhagyshree Chakravarti – Participated in Chemistry Poster Competition at Desai Karandak 2k24-25, H.V. Desai College.
- Participated in AI Ideathon 2025 organised by Pratibha College under Vigyan 2.0.
- Pooja Chaudhary – Successfully completed 3-month Internship on Cancer Awareness.
- Zeba Siddiqui –
- Participated in workshop on IKS-TKDL with 75%, organised by IKS Division, Ministry of Education & TKDL Unit.
- Attended workshop on Astrobiology and Astronauts at Indian Science Festival, Fergusson College.
- Mahendra Chaudhary –
- Participated in Indian Swachhata League 2.0 organised by PCMC.
- Participated in Model Competition organised by Poona College of Arts, Science, and Commerce.
- Apurva Donur –
- Participated in AMC Hackathon organised by Annasaheb Magar Mahavidyalaya.
- Participated in Flashcard_Fun organised by Department of Science, Pratibha College under Pragyan 2.0.
- Participated in Sci_Games organised by Department of Science, Pratibha College under Pragyan 2.0.
- Supriya Sonawane –
- Participated in Jallosh 2024 under SPPU.
- Completed Online Job Skill Training in Customer Interactive Service by WNS Global Services.
- Completed TCS iON Career Edge – Young Professionals Course.
- Sakshi Chinchkar – Completed TCS iON Career Edge – Young Professionals Course.
- Neha Khetawat –
- Completed TCS iON Career Edge – Young Professionals Course.
- Completed Mastering Microsoft Power BI Course.
- Participated in Flashcard_Fun organised by Department of Science, Pratibha College under Pragyan 2.0.
- Aaryan Shinde – Participated in Flashcard_Fun organised by Department of Science, Pratibha College under Pragyan 2.0.
- Aaryan Rasal –
Participated in Sci_Games organised by Department of Science, Pratibha College under Pragyan 2.0.
B.Sc(Reg.)
Establishment / Milestones
The B.Sc. (Regular) Department was established in 2016 with an initial intake of 19 students. Currently, the department caters to around 150 students, offering specializations in Statistics and Chemistry. The department was founded with the primary objective of fostering scientific aptitude, skills, and awareness among students, grounded in a strong foundation of basic sciences. The program is designed to cultivate a scientific temper, encouraging independent thought, logical reasoning, and the ability to make rational and informed decisions. It also promotes an interdisciplinary approach to knowledge, aiming to empower students to contribute meaningfully to a dynamic and evolving society.
B.Sc. (Statistics)
Duration: 4 Years
Eligibility:
Eligibility: Higher secondary school certificate (10+2) or its equivalent examination with English & Mathematics & with any three science subjects such as Physics, Chemistry, Biology, Geography, Geology etc.
Highlights – B.Sc. (Statistics)
- Highly Qualified Faculty (Ph.D., NET, SET)
- Expert Career Guidance
- Field Visits & Industrial Exposure
- Hands-On Training Sessions
- Guest Lectures, Seminars & Workshops
- Personalized Mentoring Support
- Participation in Science Association for Holistic Development
Value Addition – B.Sc. (Statistics)
- Training and Placement Cell – Pratibha Finishing School
- Pre-placement Activities & Soft Skills Training
- Plastic Waste Collection Drives
- “Best Out of Waste” Activities
- Environmental Sustainability Initiatives
- Cancer Awareness Program Mentoring
Facilities and Resources – B.Sc. (Statistics)
- Smart Digital Classrooms
- Well-equipped Computer Labs
- High-End Systems with Latest Statistical & Analytical Software
Career Opportunities – B.Sc. (Statistics)
- Data Analyst / Business Analyst
- Statistical Officer (Govt. Agencies)
- Market Research Analyst
- Banking and Financial Analyst
- Actuarial Analyst
- Quality Control Analyst
- Research Assistant
- Biostatistician
- Higher Education
- Competitive Exams: UPSC, MPSC, CSIR-NET, GATE
B.Sc. (Chemistry)
Duration: 4 Years
Eligibility:
Eligibility: Higher secondary school certificate (10+2) or its equivalent examination with English with any three science subjects such as Physics, Chemistry, Biology, mathematics, Geography, Geology etc.
Highlights – B.Sc. (Chemistry)
- Highly Qualified Faculty (Ph.D., NET, SET)
- Expet Career Guidance
- Field Visits & Industrial Exposure
- Hands-On Training Sessions
- Guest Lectures, Seminars & Workshops
- Personalized Mentoring Support
- Participation in Science Association for Holistic Development
Value Addition – B.Sc. (Chemistry)
- Training and Placement Cell – Pratibha Finishing School
- Pre-placement Activities & Soft Skills Training
- Plastic Waste Collection Drives
- “Best Out of Waste” Activities
- Environmental Sustainability Initiatives.
- Cancer Awareness Program Mentoring
Facilities and Resources – B.Sc. (Chemistry)
- Smart Classrooms
- Modern Computer Labs with Chemistry Software & Simulations
- Well-Equipped Chemistry Laboratories
Career Opportunities – B.Sc. (Chemistry)
- Lab Technician / Chemical Analyst
- QA/QC Roles in Pharma & Chemical Industries
- Research Assistant
- Environmental & Analytical Chemist
- Production Chemist
- Science Communicator / Technical Writer
- Higher Studies: M.Sc., Environmental Science, etc.
- Competitive Exams: UPSC, MPSC, CSIR-NET, GATE
In 2016 B.Sc. (regular) Department was established with 19 students and currently around 150 students are part of our department. This department was created with specific objectives of developing skills, aptitude and awareness amongst the students with basic knowledge of sciences. The present program will develop scientific attitude and ability to think independently and take rational and appropriate decisions at various levels of logical thinking. It also aims to develop knowledge from an interdisciplinary perspective and to empower the youth in future applicable society.
Department of Science B.Sc(Reg.)
Bachelor of Science (B.Sc ) program is an undergraduate degree of four years duration:
- Designed to nurture scientific aptitude and research-oriented thinking
- Emphasizes calculative approaches and systematic methods
- Focuses on experimentation, research, and discovery
- Integrates both theoretical and practical modes of learning
Program Objectives
- Promote & Encourage scientific inquiry-based, high-quality science education
- Disseminate knowledge from an interdisciplinary perspective
- Empower students with applicable and relevant scientific skills
Core Learning Goals
- Stress on critical thinking and logical reasoning
- Develop skills using:
- Observation
- Comparison
- Experimentation
- Mathematical manipulation of data
Commitment to Practical Applications
- Emphasis on real-world relevance of science
- Foster an understanding of science as:
- An interdisciplinary field
- A tool for societal advancement
- A discipline with practical applications across various domains
Induction Programme for Fresher’s
Industry and Excursion Tours
Industry-Academia Extension Lectures
Ph.D. /NET/SET qualified and approved faculty members with corporate exposure
Placement of Students with top companies
Focus on Experiential Learning in the form of field visit, project and so on
State Level Seminars and Workshop are organised
Excellent Infrastructure with spacious class rooms
Seminars and Guest Lectures by Industrialists and subject experts to update the current trend
Start-up are encouraged for students to get the practical exposure.
Student mentoring system
Earn and Learn scheme
Experience shared by alumni’s and industrialists.
Alumni provide Experiment based training and hands-on training.
Various Departmental activities like
National Level Model making Competition Sci-Fest, Group discussion, Online Quiz Competition, Oral Presentation Competition, Poster Making Competition, Quiz competitions, Sci-ExActa-Science Stories/Act/Movie Making, Birth anniversary celebration and Guest lectures are taken.
Remedial lectures are conducted.
Science Association club is established to nurture the student’s talent and creativity.
Separate classrooms for each class and for optional subjects.
Classrooms are well equipped with smart board and projectors.
Well-equipped labs for Physics, Chemistry, Botany & EVS.
Computer Labs with projectors & required software’s are available for Mathematics & Statistics Practical.
A separate cabin for head of the department and a common staff room.
Computers and laptops are available for teachers.
Printer is available in the department.
Departmental library with more than 200 plus books
1. Science Association
2. RBPT (Research Based Pedagogical Tools)
3. Social responsibility – No Vehicle Day
4. Learning through Statistical games
5. Listing of plant species in Campus
6. Industrial Visit/ Field Visit to esteem organizations, to provide practical knowledge to students like
“Baramati –Industrial Visit to Peppermint textile park, KVK ” Visited on 16 December 2022.
“Malavali Field Visit” visited on 17 August 2022.
“Baramati –Industrial Visit to Peppermint textile park, KVK ” visited on 16 December 2022.
Visited “Solid Waste Management ,Waste water process & Recycling Expo-” on 21st January 2023.
On the occasion of National Science day, the excursion study visit of B.Sc. students to the research institutes like “IISER, NCL and various departments (Botany, Physics) of SavitribaiPhule Pune University, Pune” to gain practical knowledge through the science exhibition on 28th February 2023.
Social Responsibility Activity with VatsalyaMatimand School Every year during Diwali. we help to sells Diwali Diyas at college premises made by Physically challenged students.
| Name of the Faculty | Designation | Qualification | Experience | Photo |
|---|---|---|---|---|
| Dr. Jayashree Muley | IQAC Director | M.Sc. (Statistics) Ph.D., M.B.A. Finance, Post Graduate Diploma in Computer Science | 22 years |  |
| Dr. Rajeshree Nanaware | Program Coordinator | M.Sc. (Mathematics), B.Ed., SET, Ph.D | 15 Years |  |
| Dr. Surekha Jogdand | Assistant Professor | M.Sc. (Chemistry), Ph.D. | 12 years |  |
| Dr. Nisha Choudhari | Assistant Professor | M.Sc. (Botany), Ph.D | 7 years |  # |
| Dr. Yogesh Jorapur | Assistant Professor | M.Sc. (Chemistry), Ph.D., Postdoc (Japan, S. Korea) | 2 yrs. Piramal Discovery Pharma; 8 yrs Postdoc. Japan/S. Korea; 2 yrs PG & 6 yrs UG teaching |  |
| Dr. Seema Barge | Assistant Professor | M.Sc. (Chemistry), Ph.D. | 5 years |  |
| Mrs. Ragini Chavan | Assistant Professor | M.Sc. (Statistics), Ph.D.(Perusing) | 11 years |  |
| Suruchi S. Somwanshi | Assistant Professor | M.Sc. (Statistics), M.Sc.(Mathematics), | 11 years |  |
| Dr. Priti Kolhe | Assistant Professor | M.Sc., Ph.D.(Environmental Science) | 11 years |  |
| Mr. Suklal Kumbhar | Assistant Professor | M.Sc. (Statistics),SET | 10 years |  |
| Mr. Rokey Lopes | Assistant Professor | M.Sc. (Statistics) | 4 years |  |
Faculty Achievements
Dr. Jayashree Muley:
- Chairman for syllabus reframing committee of Second Year B. Sc. Statistics of Savitribai Phule Pune University.
- Chairman for paper setting of Second Year B. Sc. Statistics and S.Y. M.Sc Statistics of Savitribai Phule Pune University.
- Coordinator for the practical Exam of Second Year B. Sc. Statistics of Savitribai Phule Pune University.
- Paper reviewer at MIT A.C.S.C. Alandi & Fergusson College Pune.
- Attended workshop on “Kachara Nako g Bai” between 12th to 15 February 2025 in online mode organized by Green Works Trust.
- Attended “Happiness Program” by Sri Sri Ravishankar, Aishwaryam Ventures Group.
Dr. Rajeshree Nanaware:
- Attended One Day Syllabus Framing Workshop for S.Y.B.Sc Mathematics (As per NEP2020) on 22nd April 2025.
- Invited as Resource Person for “One day Workshop on Python Programming in Mathematics for SYBSc(CS)at CCS College Wakad on 26th October 2024
- Completed “One Week Online Workshop on Mathematics Towards Machine Learning “
- Completed Online Certificate Course Cum Workshop of 32 hours on “AI AND GOOGLE TOOLS IN EDUCATION” organized by Sanatan Dharma College, Ambala Cantt from 21 th Nov 2024 to 30 th Nov 2024 with “A” Grade.
Dr. Surekha Jogdand
- Published paper in scopus indexed Journal Surekha Jogdand, Polyhedron, 2025
- Presented paper in International Workshop “Recent Advancement in Magnetism and Magnetic Materials” November 2024 organized by VIT -AP University, AndhraPradesh
- Participated in IP awareness training Program under NIPAM, October 2024
- Completed online faculty development program on”Advanced Functional Material-current research Innovation and Application “June 2024 organized by MIT and Maharashtra academy of Science
Dr. Nisha Choudhari
- Participated and presented posters in Two days International Conference on “Agriculture, Environment and Life Sciences” on dated 21st and 22nd February 2025.
- Under the Science stream Selected as a sub-committee member of S.Y. BSc. Botany syllabus framing/Setting as per NEP (2020) pattern.
- completed 3-day online course of Environmental Analytics: Basics of R Programming and Data Processing in Ecology, conducted by THE GREEN CONCEPT INSTITUTE FOR CARBON ASSESSMENT AND RESTORATION ECOLOGY, on 26 th to 28th July 2024.
- Completed Yoga teacher training level 1 and level 2 -Yog Pravesh and Yog Parichay, Central Government of India Aayush Mantralya Recognized, Yog-Vidyadham Nashik, Maharashtra, India.
- Appointed for Examination Work as Paper setter, Practical External examiner and Paper checking and moderator from SPPU, Pune.
- worked as Botanist – to Identification of Native and Exotic Tree species and seed storage methods as a free lance work and Social Awareness under CSIR Drive organized by “The Explores” trecking group.
Dr. Seema Patil
- Participated in IP awareness training Program under NIPAM, October 2024.
Dr. Yogesh Jorapur
- Jorapur, Y. R.; Shah, D.; Kankariya, R. “Synthesis, Bio-activity, and Spectral Characterization of Different 1,4-Naphthoquinone Derivatives and their Metal Chelates Proceedings of the National Conference on Advanced Materials and Spectoscopy (NCAMS-2024), Aug., 22-23, 2024 (ISBN 978-81-978426-5-8).
- Jorapur, Y. R.; Chaudhari, N. R.; Kulkarni, A.; Chatterjee, T.; Velhal, S. “Chemical, Nutritional, and Biomolecular Characteristics of Finger Millet (Eleusine coracana L.). Afr. J. Biol. Sci., 2024, 6 (12), 967–978 (ISSN 2663–2187); doi: 10.48047/AFJBS.6.12.2024.967-978.
- Three Months Internship; Ten Students were Mentored in a Community Outreach Program on “Cancer Awareness” in collaboration with the Indian Cancer Society, Delhi, and Guru Angad Dev Teaching Learning Centre, SGTB Khalsa College, University of Delhi under PMMMNMTT of Ministry of Education between 1st Feb. to 30th April 2024.
- Acted as Resource Person and Delivered Talk on “Research Paper: Citations & Impact Factor” as part of Two Day National Level Faculty Development Programme (Online) titled “Research Paper and Project Proposal Writing”, Organized by A.C.T Academy, Keralam and SVCET, Andhra Pradesh (Feb. 7 & 8, 2025)
- Appreciation Certificate for Mentoring the IDEARUN 2024 Presentation, “Digital Marketing to Boost Home-Based Businesses” in the online event Organized by South Asia Working Group, IEEE Smart Village, Gandhinagar, September, 21, 2024.
- Appointment as an Institute for Educational Research and Publication (IFERP) Review Committee Member, Since September, 28, 2024.
- Five Days Online Research Development Program (RDP) on the theme of “Research Methodology and Ethics in Research” Organized by Pune Institute of Business Management for PGDM from Jan. 20-24, 2025.
- Five Days National Level Workshop on “Frontiers In Chemical Research: Innovations And Applications” Organized by Department of Chemistry, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai from February, 17-21, 2025
- One Day National Level Research Workshop (Virtual Mode) on “Techniques to Publish Research Papers in Peer-Reviewed Journals”, Organized by A.C.T Academy, Kerala on Dec. 05, 2024.
- One-Week Virtual Research Faculty Development Program on “Research Methodology” from June 10-15, 2024, organized by Pune Institute of Business Management for PGDM, Savitribai Phule Pune University.
- Invited as an external practical examiner for End Semester Practical/Skill Examination to examine the candidates in Course-Engineering Chemistry (AUTO 3103), for Sem-I, of program-B.Tech. Automobile, at Symbiosis Skills & Professional University, Kiwale, Pune (May 6 & 7, 2025)
- Invited as an external practical examiner for FYMSc. (Organic Chemistry) at Department of Chemistry at Modern College of Arts, Science, and Commerce, Ganeshkhind, Pune (April 09, 2025)
- Invited as an external practical examiner for SYMSc. (Organic Chemistry) at Department of Chemistry at Modern College of Arts, Science, and Commerce, Ganeshkhind, Pune (March 22-25, 2025)
- Invited as an external practical examiner for TYMSc. (Organic Chemistry) at Department of Chemistry at Modern College of Arts, Science, and Commerce, Ganeshkhind, Pune (March 12, 2025)
15.Invited as an external practical examiner for End Semester Practical/Skill Examination to examine the candidates in Course-Engineering Chemistry (AUTO 3103), for Sem-I, of program-B.Tech. Automobile, at Symbiosis Skills & Professional University, Kiwale, Pune (Dec. 03, 2024).
Mrs.Amola Jeure
Attended One Day National Conference on Recent Developments in Pure and Applied Mathematics organized by P.A.H. Solapur University Solapur on 24th February 2025.
Mr. Suklal Kumbhar: Ph.D registration in Statistics
Students’ Achievements:
- Sneha Sharma – Secured second rank in the intra-college Book Review Competition organised by KRC under the Maharashtra Project.
- Shravan Malpote –
- Awarded Pratibha Merit Cum Income (EWS) Scholarship.
- Participated in State Level Open Chess Tournament, Genba Sopanrao Moze College of Engineering.
- Secured first prize in Sci_Quizathon organised by Department of Science, Pratibha College under Pragyan 2.0.
- Participated in Chess Competition organised by PCCCS.
- Secured first prize in Flashcard Fun organised by Department of Science, Pratibha College under Pragyan 2.0.
- Shivangi Chauhan – Participated in Indian Swachhata League 2.0 organised by Pimpri Chinchwad Municipal Corporation.
- Participated in Chemistry Poster Competition during Desai Karandak 2k24-25 at H.V. Desai College.
- Attended workshop on Astrobiology and Astronauts by LIFE-To and Beyond Foundation at Indian Science Festival, Fergusson College.
- Maithili Raut – Received first rank in Water Heritage Trust Competition organised by PCMC.
- Maithili Raut – Participated in Chemistry Poster Competition at Desai Karandak 2k24-25, H.V. Desai College.
- Bhagyshree Chakravarti –
- Participated in ACT Concept Test in Chemistry organised by Association of Chemistry Teachers.
- Bhagyshree Chakravarti – Participated in Chemistry Poster Competition at Desai Karandak 2k24-25, H.V. Desai College.
- Participated in AI Ideathon 2025 organised by Pratibha College under Vigyan 2.0.
- Pooja Chaudhary – Successfully completed 3-month Internship on Cancer Awareness.
- Zeba Siddiqui –
- Participated in workshop on IKS-TKDL with 75%, organised by IKS Division, Ministry of Education & TKDL Unit.
- Attended workshop on Astrobiology and Astronauts at Indian Science Festival, Fergusson College.
- Mahendra Chaudhary –
- Participated in Indian Swachhata League 2.0 organised by PCMC.
- Participated in Model Competition organised by Poona College of Arts, Science, and Commerce.
- Apurva Donur –
- Participated in AMC Hackathon organised by Annasaheb Magar Mahavidyalaya.
- Participated in Flashcard_Fun organised by Department of Science, Pratibha College under Pragyan 2.0.
- Participated in Sci_Games organised by Department of Science, Pratibha College under Pragyan 2.0.
- Supriya Sonawane –
- Participated in Jallosh 2024 under SPPU.
- Completed Online Job Skill Training in Customer Interactive Service by WNS Global Services.
- Completed TCS iON Career Edge – Young Professionals Course.
- Sakshi Chinchkar – Completed TCS iON Career Edge – Young Professionals Course.
- Neha Khetawat –
- Completed TCS iON Career Edge – Young Professionals Course.
- Completed Mastering Microsoft Power BI Course.
- Participated in Flashcard_Fun organised by Department of Science, Pratibha College under Pragyan 2.0.
- Aaryan Shinde – Participated in Flashcard_Fun organised by Department of Science, Pratibha College under Pragyan 2.0.
- Aaryan Rasal –
Participated in Sci_Games organised by Department of Science, Pratibha College under Pragyan 2.0.
Introduction
Computer Science plays a pivotal role in this era of the digital revolution. Its presence in today’s world is ubiquitous. There is a great demand, both in industry and academia, for computer science graduates who have sound knowledge of the underlying concepts and principles of computer science as well as the ability to apply them to solve real-world problems.
The Department of Computer Science trains students to achieve these goals, which enables them to excel in their professional careers, whether in academics, research, or industry. The students study the design of digital hardware and software systems. Computer Science encompasses a wide range of topics like operating systems, computer architecture, computer networks, Mobile Computing, artificial intelligence and Software Engineering.
The Computer Science Department plays a pivotal role in advancing knowledge and skills in the field of computing. As technology continues to evolve, the department remains at the forefront of providing innovative education, cutting-edge research, and industry collaborations to prepare the next generation of computer scientists and engineers.engineers.
The Computer Science Department stands as a hub of technological innovation, fostering an environment where students can develop their skills, collaborate on groundbreaking research, and contribute to the future of computing. Through high-quality education, impactful research, and strong industry connections, we aim to create professionals who are not only technically adept but also socially responsible and capable of solving the complex problems of tomorrow’s world.
Mission & Vision:
The mission of the Computer Science Department is to provide a high-quality education that equips students with the knowledge, skills, and ethical grounding needed to excel in the ever-evolving field of computing. The department strives to foster critical thinking, creativity, and problem-solving abilities through rigorous academic programs, hands-on learning experiences, and collaborative research opportunities. Our vision is to be a leader in computer science education and research, producing graduates who contribute to technological innovation, societal advancement, and industry transformation
Objectives:
The Computer Science Department is dedicated to providing a world-class education, fostering innovative research, and preparing students for careers in the rapidly evolving field of computing. The department’s objectives guide its educational philosophy, curriculum design, research endeavors, and engagement with the community. Below are the primary objectives:
- Provide High-Quality Education
- Objective: To offer a comprehensive and rigorous curriculum that equips students with both theoretical knowledge and practical skills in computer science.
- Action: Develop and deliver courses in core areas such as programming, algorithms, data structures, software engineering, and system design, as well as specialized areas like artificial intelligence, machine learning, cybersecurity, and data science.
- Outcome: Graduates who possess a deep understanding of fundamental computing concepts and are prepared to contribute to the technology sector.
- Foster Research and Innovation
- Objective: To encourage cutting-edge research in diverse areas of computer science and foster an environment that nurtures innovation.
- Action: Promote research in areas such as artificial intelligence, blockchain technology, cybersecurity, data science, and human-computer interaction, and provide resources to faculty and students to conduct high-impact research.
- Outcome: Contribute to the advancement of knowledge and technology that addresses real-world challenges and drives progress in various industries.
- Cultivate Critical Thinking and Problem-Solving Skills
- Objective: To develop students’ ability to think critically, analytically, and creatively when solving complex problems.
- Action: Incorporate project-based learning, problem-solving tasks, hackathons, and case studies into the curriculum to ensure students are challenged to think outside the box.
- Outcome: Graduates who can approach problems with a solutions-oriented mindset and apply their skills in a variety of real-world scenarios.
- Promote Interdisciplinary Learning
- Objective: To encourage students to apply computer science principles across various domains and integrate knowledge from other fields.
- Action: Offer interdisciplinary courses and projects that combine computer science with disciplines such as bioinformatics, healthcare, economics, engineering, and social sciences.
- Outcome: Graduates who can work across multiple fields, understanding how technology intersects with other industries and solving problems in diverse areas.
- Prepare Students for the Workforce
- Objective: To ensure students are equipped with the technical and soft skills needed to succeed in the technology industry.
- Action: Collaborate with industry partners to offer internships, co-op programs, and job placements. Incorporate career preparation workshops focusing on resume building, interview techniques, and networking.
- Outcome: Graduates who are career-ready, with the technical expertise and soft skills needed to excel in fast-paced and dynamic job environments.
- Foster Lifelong Learning
- Objective: To instill a commitment to lifelong learning, encouraging students to continuously update their skills and knowledge in an ever-changing field.
- Action: Encourage participation in workshops, certification programs, and online learning platforms. Emphasize the importance of staying current with emerging technologies and trends.
- Outcome: Alumni who remain at the forefront of the technology field by continuously learning and adapting to new challenges and technologies.
- Promote Diversity and Inclusion
- Objective: To create a welcoming and inclusive environment that supports students from diverse backgrounds and fosters equality in computing.
- Action: Implement outreach programs targeting underrepresented groups in STEM, such as women, minorities, and students from disadvantaged communities. Provide mentorship and support to ensure all students succeed.
- Outcome: A more diverse student body and faculty, with equal opportunities for all to succeed in computer science.
- Engage with Industry and the Community
- Objective: To build strong partnerships with industry leaders, government bodies, and research organizations to provide students with real-world experiences and to enhance the department’s impact.
- Action: Establish industry advisory boards, invite guest speakers, collaborate on research, and organize industry-sponsored events like hackathons and coding competitions.
- Outcome: Strong connections between academia and industry, providing students with access to internships, job placements, and industry-sponsored research opportunities.
- Promote Ethical and Responsible Computing
- Objective: To ensure that students understand the ethical, legal, and social implications of their work in computer science.
- Action: Integrate courses and discussions on topics such as data privacy, cybersecurity, digital ethics, and the responsible use of technology.
- Outcome: Graduates who are aware of the societal impact of technology and who can make responsible and ethical decisions in their professional careers.
- Support Faculty Development and Research Excellence
- Objective: To attract and retain high-quality faculty members who are experts in their fields and committed to both teaching and research.
- Action: Provide support for faculty development through professional development programs, research funding, and collaboration opportunities.
- Outcome: A team of faculty members who are leaders in their respective research areas and who provide a high standard of education and mentorship to students.
Speacial Features
- Take-Flight ‘ -Induction Programme for Fresher’s
- Industry and Excursion Tours
- Corporate Week sessions by Industry Experts
- Ph.D. /NET/SET qualified and approved faculty members with corporate exposure
- Placement of Students with top companies
- Focus on Experiential Learning in the form of field visit, project and so on.
- National Level, State Level Seminars and Workshop, Quiz are organised.
- Excellent Infrastructure with spacious class rooms.
- Seminars and Guest Lectures by Industrialists and subject experts to update the
current trend
- Start-up are encouraged for students to get the practical exposure.
Student Mentor -Mentee system.
- Student Earn and Learn scheme.
- Various Departmental activities like Brain O Blossom, Vitamin C, Wasted
Potential, Touch of Ink, Brian-O-Fest, Slide -o-Geek, and C-Zombies. Techintellect ,etc
- Remedial lectures are conducted.
- Computer Science Association is established to nurture the student’s talent and
creativity.
- Cutting-Edge Research Opportunities for UG & PG Students
- Strong Industry Connections for providing OJT ,field Work , Internships & Placements to Students
- Strong Focus on Ethical Computing
- Faculty Expertise and Mentorship for students betterment
- Focus on Diversity and Inclusion
- Guest Lectures & Workshops for Students to upskill them and bridge gap between Industry and Academia needs.
Open Sources :
C, php, java, netbeans, postgresql, wamp, open GL on linux platform.
- Curriculum Design and Development
- Industry Alignment: Continuously update the curriculum to align with industry trends and technological advancements (e.g., AI, Machine Learning, Cybersecurity, Blockchain).
- Hands-On Learning: Focus on practical application alongside theoretical knowledge. Incorporate labs, coding projects, and real-world problem-solving.
- Interdisciplinary Approach: Introduce courses that integrate computer science with other fields (e.g., bioinformatics, robotics, data science) to provide broader learning opportunities.
- Focus on Soft Skills: Offer courses on communication, teamwork, problem-solving, and leadership to prepare students for the workplace.
- Research Excellence
- Encourage Faculty Research: Support faculty in publishing papers, attending conferences, and engaging with the broader academic community.
- Collaborations and Grants: Actively seek research grants and build partnerships with industry to fund research projects and initiatives.
- Undergraduate Research Opportunities: Provide opportunities for undergraduate students to engage in research, perhaps through capstone projects or dedicated research labs.
- Foster Innovation: Encourage the creation of tech startups, innovation hubs, and student-led hackathons to drive entrepreneurship within the department.
- Effective Teaching Practices
- Active Learning: Use group discussions, peer coding, and problem-based learning to create an engaging, interactive learning environment.
- Diverse Assessment Methods: Include a mix of individual projects, group work, exams, and presentations to assess student performance in different ways.
- Feedback Mechanisms: Implement regular and timely feedback on assignments and projects to help students improve.
- Online Learning Platforms: Leverage MOOCs, video lectures, and online collaboration tools to complement in-person classes.
- Student Support and Engagement
- Mentorship Programs: Pair students with faculty or industry professionals who can offer guidance on both academic and career paths.
- Career Services: Provide dedicated career services that help students prepare for job placements, internships, and interviews with tech companies.
- Hackathons & Competitions: Organize coding competitions, hackathons, and code sprints to encourage collaboration and hands-on problem solving.
- Peer Learning: Set up peer tutoring, coding clubs, and student groups where students can learn from and help each other.
- Internship Opportunities: Collaborate with industry partners to provide internships and practical exposure to students.
- Inclusive Environment
- Diversity & Inclusion: Foster a diverse and inclusive environment by encouraging participation from underrepresented groups in computer science (e.g., women in tech, minority students).
- Flexible Learning Paths: Offer both part-time and full-time options, and provide online or hybrid learning for non-traditional students.
- Accessible Resources: Ensure all resources (course materials, labs, software) are accessible to students with disabilities.
- Safe and Supportive Culture: Maintain a culture where students feel comfortable voicing concerns, asking questions, and being creative without fear of judgment.
- Collaboration with Industry
- Industry Advisory Board: Establish an advisory board made up of professionals and alumni who can provide guidance on curriculum, research, and job market trends.
- Guest Lectures & Workshops: Bring in industry experts for guest lectures and hands-on workshops, allowing students to engage with real-world challenges.
- Internships and Job Placements: Build strong relationships with companies to secure internship and job placement opportunities for students.
- Technology and Infrastructure
- State-of-the-Art Labs: Keep computer labs well-equipped with the latest hardware, software, and networking tools to meet the demands of modern computing.
- Cloud Computing & Virtualization: Provide cloud-based computing environments for remote learning, experimentation, and testing.
- Security Protocols: Implement robust cybersecurity measures in both student and faculty systems to ensure data protection.
- Software Tools: Ensure that students and faculty have access to the latest software tools required for courses (e.g., IDEs, design tools, analytics software).
- Professional Development for Faculty
- Continuous Learning: Encourage faculty to continue learning by attending workshops, seminars, and pursuing further studies (e.g., online certifications, Ph.Ds).
- Collaboration Opportunities: Foster collaboration among faculty members on joint research projects, teaching innovations, and conferences.
- Industry Exposure: Allow faculty to participate in industry-based projects and collaborations to stay updated with current technology trends.
- Teaching Support: Provide training and resources for new faculty members to help them effectively teach and engage with students.
- Evaluation and Improvement
- Regular Program Evaluation: Regularly assess and revise the curriculum and teaching methods to ensure the department stays up-to-date with industry and academic trends.
- Student Feedback: Collect and act upon student feedback regarding courses, faculty, and department services.
- Accreditation & Benchmarking: Seek accreditation from recognized academic bodies and benchmark against other leading computer science programs globally.
- Alumni Network and Industry Partnerships
- Strong Alumni Network: Create a vibrant alumni network to foster career opportunities, mentorship, and donations to support the department.
- Industry Partnerships: Build long-term relationships with tech companies, government bodies, and research organizations to support funding, collaborative research, and job placement.
Programmes & Courses Outcomes: Click Here
Programmes & Courses Outcomes: BSC (Computer Science)
Curricular activity:
- Conducted Remedial / Bridge course.
- Cyber Security & CPMA.
- Workshop on software development.
Co- Curricular activity:
- National Level Conference.
- “Bits Bytes in IT “& “Recent Trends in IT.
- State Level Seminar in Statistics.
- State Level Seminar In Electronic.
- Soft –Skills & Personality Development Programs.
- Career Counselling & Mentoring.
- Hands-On Industrial Training Visits.
- Guest Lecture Series.
- Sports Day.
Extra-curricular activity:
- Alumni Engagement & Take Flight.
- Live Project Trainings.
- Entrepreneurship Development.
- Departmental Activities (Techphilphia, Electrofest, Mathstract, Brain-o –Fest).
- Teacher Day Celebrations.
- Notice board.
- Parent’s meeting.
Social concern:
- Skill Development Trainings.
Faculty Achievements : Click Here
Establishment
Computer Science plays a pivotal role in this era of the digital revolution. Its presence in today’s world is ubiquitous. There is a great demand, both in industry and academia, for computer science graduates who have sound knowledge of the underlying concepts and principles of computer science as well as the ability to apply them to solve real-world problems.
The Department of Computer Science trains students to achieve these goals, which enables them to excel in their professional careers, whether in academics, research, or industry. The students study the design of digital hardware and software systems. Computer Science encompasses a wide range of topics like operating systems, computer architecture, computer networks, Mobile Computing, artificial intelligence and Software Engineering.
Objectives of Computer Science Department:
1. Possess practical and theoretical knowledge of computer science sufficient to earn a living and contribute to the development of the country.
2. Be prepared for advanced education in computer science.
3. Demonstrate proficiency in the analysis of complex problems and the synthesis of solutions to those problems.
4. Advance the state−of−the−art in computer science and software engineering through the achievement of fundamental advances, testing these advances through their application to hard problems.
5. Instruct undergraduate and Post -Graduate students in the state−of−the−art scientific and engineering methods pertinent to computer science and software engineering in order to lead students to a point of understanding where they remain inquisitive, serious, ethical, and creative problem solvers.
6. Be engaged in local, regional, and state social and economic development for the benefit of both the public and private sectors.
- ‘Take-Flight ‘ -Induction Programme for Fresher’s
- Industry and Excursion Tours
- Corporate Week sessions by Industry Experts
- Ph.D. /NET/SET qualified and approved faculty members with corporate exposure
- Placement of Students with top companies
- Focus on Experiential Learning in the form of field visit, project and so on.
- National Level , State Level Seminars and Workshop , Quiz are organised.
- Excellent Infrastructure with spacious class rooms.
- Seminars and Guest Lectures by Industrialists and subject experts to update the
current trend - Start-up are encouraged for students to get the practical exposure.
Student Mentor -Mentee system. - Student Earn and Learn scheme.
- Various Departmental activities like Brainc Blossom , Vitamin C, Wasted
Potential,Touch of Ink , Brian-O-Fest , Slide -o-Geek, C-Zommbie . Techintellect ,etc - Remedial lectures are conducted.
- Computer Science Association is established to nurture the student’s talent and
creativity.
Open Sources :
C, php, java, netbeans, postgresql, wamp, open GL on linux platform.
Infrastructure
- Industrial Visit to esteem organizations, to provide practical knowledge to students like
a. Cotton King
b. Peppermint
c. Nanadan Dairy
d. SusGarments Artisan garments - Start up activities
- Social Responsibility Activity with Vatsalya Matimand School
- Every year during Diwali. we help to sells Diwali Diyas at college premises made by Physically challenged students.
- Programmes & Courses Outcomes: Click Here
Curricular activity :
- Conducted Remedial / Bridge course.
- Cyber Security & CPMA.
- Workshop on software development.
Co- Curricular activity :
- National Level Conference.
- “Bits Bytes In IT “ & “ Recent Trends in IT.
- State Level Seminar In Statistics.
- State Level Seminar In Electronic.
- Soft –Skills & Personality Development Programs.
- Career Counseling & Mentoring.
- Hands-On Industrial Training Visits .
- Guest Lecture Series.
- Sports Day.
Extra-curricular activity :
- Alumni Engagement & Take Flight.
- Live Project Trainings.
- Entrepreneurship Development.
- Departmental Activities (Techphilphia , Electrofest ,Mathstract ,Brain-o –Fest ).
- Teacher Day Celebrations.
- Notice board.
- Parent’s meeting.
Social concern :
Skill Development Trainings.
Faculty Achievement:
Student Achievement:
Establishment / Milestones
Cyber and Digital Science is a niche subject of modern studies which will prepare students for professional work in business and industry, as well as government and law enforcement.
Students will gain insights into the design of digital technologies, and the policy challenges of deploying such technologies, with broad-based training that will draw from computer science, engineering, research methods, management, economics, and other social sciences.
Objectives
- To strengthen the basics of the subject useful in selecting various career options.
- To make students aware of cyber-crime, cyber security and learn ways to handle them.
- To produce entrepreneurs who can work in the area of Cyber and Digital Forensics.
Highlights
- 3 Years Bachelor Degree
- Affiliated to Savitribai Phule Pune University
- Highly qualified, experienced & approved staff.
- Specialized Degree with Promise of Global Career
- Focus on Experiential Learning in the form of field visit, project and so on
- Focused Practical Training
- Excellent Infrastructure with spacious class rooms, computer laboratory.
- Industry-Academia Extension Lectures
- Seminars and Guest Lectures by Industrialists and subject experts.
- Technical & Non-technical program are arranged to enhance the IT & soft skills.
- Student mentoring system for giving personal touch to each of the students.
- The faculty member provides constant support and every piece of advice to the students whenever he/she faces a problem with any aspect of the curriculum or any personal problems.
- Earn and Learn scheme
IT Resources:
| Sr. No. | Name | Total No of License |
| 01 | Antivirus Software: Quick heal Seqrite for Windows | Admin Console 500/- Copies 2 |
| 02 | Microsoft | Campus Agreement 3 |
| 03 | Linux Kali
| Open Sources |
Physical Facilities:
| Physical Facilities |
| 1. No. of IT enabled classrooms: 2 |
| 2. No. of laboratories: 3 |
| 3. T3 (Capacity – 40) |
| 4. T14 Lab (Capacity – 40) |
| 5. S4 Lab (Capacity – 40) |
| 6. Electronic Lab (Capacity – 40) |
- Guest Lectures
- Workshops/seminars
- Days Celebration
- Intra-Collegiate and Inter-collegiate Competitions
- Student Achievements in AY 2022-23:
- Ms. Kalyani Chavan from F.Y B.Sc(CDS) participated in LOGO Competition and won First prize in Intra-Collegiate Competition.
- Mr. Dhanraj Lugade from F.Y B.Sc(CDS) participated in LOGO Competition and won Third prize in Intra-Collegiate Competition.
- Ms. Bhagyashree Dudhbhate from F.Y B.Sc(CDS) won Cyber Warrior Award by Quick Heal Foundation.
- Ms. Ganga Sutar and Ms. Sinori Puranik, students of F.Y.B.Sc(CDS) won the Second and Third prize in Mathematical Model/ poster Competition organized by Department of Mathematics
- Ms. Sanskriti Thorat from F.Y B.Sc(CDS) secure 2nd Rank in Python Add-on Course conducted by SCSS`s Rajashri Shahu Mahavidyalaya (Autonomous),Latur.
- Ms. Mitusha Patil student of F.Y.B.Sc(CDS) won the 3rd Prize in Eassy Competition conducted by NSS.
Name Of Faculty | Designation | Qualification | Experience | Photo |
|---|---|---|---|---|
| Mrs. Dipali L. Mahajan | Program Coordinator | M.Sc. (C.S.) SET | 16 Years |  |
| Dr. Aparna Joshi | Assistant Professor | M.Sc.(C.S), B.Ed, SET, Ph.D. | 19 Years |  |
| Mrs. Neeta Gatkal | Assistant Professor | M.Sc. (Electronics) NET | 15 Years |  |
| Dr Anuradha Ghodke | Assistant Professor | MA MPhil PhD (English) | 16+ Years |  |
| Mrs. Prajakta A Yeole | Assistant Professor | MCA | 1 Year |  |
| Mrs. Madhuri Chaudhari | Assistant Professor | MCA, Pursuing Ph.D | 10+ Years |  |
| Mrs. Mayura Sawant | Assistant Professor | M.Sc(CS) | 9 Years |  |
| Ms. Shivani S Tikone | Assistant Professor | M.Sc(CS) | 2 Years |  |
| Mrs. Pallavi Suryawanshi | Assistant Professor | M.Sc(CS) | 8+ Years |  |
| Mrs. Pallavi Patil | Assistant Professor | MCA | 4.5 Years |  |
| Ms. Kanchan Patil | Assistant Professor | M.Sc. (CS) | 1.4 Years |  |
Establishment / Milestones
Cyber and Digital Science is a niche subject of modern studies which will prepare students for professional work in business and industry, as well as government and law enforcement.
Students will gain insights into the design of digital technologies, and the policy challenges of deploying such technologies, with broad-based training that will draw from computer science, engineering, research methods, management, economics, and other social sciences.
Objectives
- To strengthen the basics of the subject useful in selecting various career options.
- To make students aware of cyber-crime, cyber security and learn ways to handle them.
- To produce entrepreneurs who can work in the area of Cyber and Digital Forensics.
Highlights
- 3 Years Bachelor Degree
- Affiliated to Savitribai Phule Pune University
- Highly qualified, experienced & approved staff.
- Specialized Degree with Promise of Global Career
- Focus on Experiential Learning in the form of field visit, project and so on
- Focused Practical Training
- Excellent Infrastructure with spacious class rooms, computer laboratory.
- Industry-Academia Extension Lectures
- Seminars and Guest Lectures by Industrialists and subject experts.
- Technical & Non-technical program are arranged to enhance the IT & soft skills.
- Student mentoring system for giving personal touch to each of the students.
- The faculty member provides constant support and every piece of advice to the students whenever he/she faces a problem with any aspect of the curriculum or any personal problems.
- Earn and Learn scheme
IT Resources:
Sr. No. | Name | Total No of License |
01 | Antivirus Software: Quick heal Seqrite for Windows | Admin Console 500/- Copies 2 |
02 | Microsoft | Campus Agreement 3 |
03 | Linux Kali
| Open Sources |
Physical Facilities:
Physical Facilities |
1. No. of IT enabled classrooms: 2 |
2. No. of laboratories: 3 |
3. T3 (Capacity – 40) |
4. T14 Lab (Capacity – 40) |
5. S4 Lab (Capacity – 40) |
6. Electronic Lab (Capacity – 40) |
- Guest Lectures
- Workshops/seminars
- Days Celebration
- Intra-Collegiate and Inter-collegiate Competitions
- Student Achievements in AY 2022-23:
- Ms. Kalyani Chavan from F.Y B.Sc(CDS) participated in LOGO Competition and won First prize in Intra-Collegiate Competition.
- Mr. Dhanraj Lugade from F.Y B.Sc(CDS) participated in LOGO Competition and won Third prize in Intra-Collegiate Competition.
- Ms. Bhagyashree Dudhbhate from F.Y B.Sc(CDS) won Cyber Warrior Award by Quick Heal Foundation.
- Ms. Ganga Sutar and Ms. Sinori Puranik, students of F.Y.B.Sc(CDS) won the Second and Third prize in Mathematical Model/ poster Competition organized by Department of Mathematics
- Ms. Sanskriti Thorat from F.Y B.Sc(CDS) secure 2nd Rank in Python Add-on Course conducted by SCSS`s Rajashri Shahu Mahavidyalaya (Autonomous),Latur.
- Ms. Mitusha Patil student of F.Y.B.Sc(CDS) won the 3rd Prize in Eassy Competition conducted by NSS.
Name Of Faculty | Designation | Qualification | Experience | Photo |
|---|---|---|---|---|
| Mrs. Dipali L. Mahajan | Program Coordinator | M.Sc. (C.S.) SET | 16 Years | |
| Dr. Aparna Joshi | Assistant Professor | M.Sc.(C.S), B.Ed, SET, Ph.D. | 19 Years | |
| Mrs. Neeta Gatkal | Assistant Professor | M.Sc. (Electronics) NET | 15 Years | |
| Dr Anuradha Ghodke | Assistant Professor | MA MPhil PhD (English) | 16+ Years | |
| Mrs. Prajakta A Yeole | Assistant Professor | MCA | 1 Year | |
| Mrs. Madhuri Chaudhari | Assistant Professor | MCA, Pursuing Ph.D | 10+ Years | |
| Mrs. Mayura Sawant | Assistant Professor | M.Sc(CS) | 9 Years | |
| Ms. Shivani S Tikone | Assistant Professor | M.Sc(CS) | 2 Years | |
| Mrs. Pallavi Suryawanshi | Assistant Professor | M.Sc(CS) | 8+ Years | |
| Mrs. Pallavi Patil | Assistant Professor | MCA | 4.5 Years | |
| Ms. Kanchan Patil | Assistant Professor | M.Sc. (CS) | 1.4 Years | |
Preamble
The B.Sc. (Information Technology) and B.Sc. (Information Technology) (Honors/Research) is specially structured three and four years program respectively with Information Technology as a major subject under the faculty of Science and Technology.
The objective of the course is to think analytically, creatively and critically in developing robust, extensible and highly maintainable technological solutions to simple and complex problems or to pursue advance studies and research in Information Technology. The syllabus which comprises of Information Technology (Major) subject along with that of three allied subjects (Mathematics, Electronics, Statistics) (Minor) covers the key aspects of Information technology and also develops the necessary professional skills and problem solving abilities using Information Technology.
Introduction:
Information Technology is the study of quantity, structure, space and change, focusing on problem solving, application development with wider scope of application in science and technology, social sciences etc. throughout the world in last couple of decades and it has carved out a space for itself like any other disciplines of basic Science and Technology.
The Students completing this programme will be able to present software application clearly and precisely, make abstract ideas precise by formulating them in the computer languages. Completion of this programme will also enable the learners to join teaching profession, enhance their employability for government jobs, jobs in software industry, banking, insurance and investment sectors, data analyst jobs and jobs in various other public and private enterprises.
At the First year, course is based on problem solving and programming along with Designing and Development Skills. Primary Concepts of C Programming, Python, Database and Computer Networking are also introduced in course. The practical courses are designed to support the theoretical training in the year.
Along with Information Technology (Major), VSC and SEC courses helps in building a personality. Another Aspect of this course is IKS which tells about the rich heritage and advancement of India in the field of computation.
At the second year, computational problem solving skills are further strengthened by course in Data Structure using python. Object Oriented Programming using Java and Programming Concepts in Database Management System are also introduced in this year.
At the third year, all the courses are designed to fulfill core Information technology requirements as well as the needs of the IT industry. Major elective courses are taking care of recent trends in the field of Information Technology.
Minor and skills Enhancement courses enable the students to acquire additional skills.
At the fourth year (Honors) and (Research), all the subjects are designed to fulfill core Information Technology requirements as well as meet the needs of the IT industry.
Practical courses and field projects enable students to get hands on training. Numerous learning tracks are open through major elective courses. Research Methodology course will create interest among a student to bring research in the field of Information Technology.
Objectives
- Equip students with the knowledge and skills to design, implement, and manage computer networks, ensuring secure and efficient communication.
- To apply their knowledge and skills to be employed and excel in IT professional careers and/or to continue their education in IT and/or related Post Graduate programs.
- It enables an IT graduate to start their own Software Development Company.
- To make the students industry ready by teaching them to apply the technologies in various fields of IT, including Mobile applications, Web site Development and Management, Databases, and Computer Networks.
Eligibility
- Higher secondary school certificate (10+2) Science or its equivalent examination with English.
OR
- Three-year diploma course from the board of technical education conducted by Government of Maharashtra or its equivalent.
OR
- Higher secondary school certificate (10+2) Examination with English and a vocational subject of +2 level (MCVC)
PO No. | Outcomes |
PO1 | Analyses a problem and identify and define the computing requirements appropriate to its solution |
PO2 | Focuses on preparing students for roles pertaining to computer applications and IT industry |
PO3 | Developing programming skills, networking skills, learn applications, programming languages and modern techniques of IT |
PO4 | Get skills and information about computers and information technology |
PO5 | Learn programming languages such as C, Python, Java, HTML, PHP, SQL, etc. |
PO6 | Information about various computer applications and latest development in IT. |
PO7 | Gives overview of the topics in IT like networking, computer graphics, web development, trouble shooting, and hardware and software skills. |
PO8 | Ability to select appropriate techniques to tackle and solve problems in the discipline of Information Technology. |
.
Name Of Faculty | Designation | Qualification | Experience | Photo |
|---|---|---|---|---|
| Mrs. Dipali L. Mahajan | Program Coordinator | M.Sc. (C.S.) SET | 16 Years | |
| Dr Anuradha Ghodke | Assistant Professor | MA MPhil PhD (English) | 16+ Years | |
| Mrs. Prajakta A Yeole | Assistant Professor | MCA | 1 Year | |
| Ms. Shivani S Tikone | Assistant Professor | M.Sc(CS) | 2 Years | |
| Mrs. Pallavi Suryawanshi | Assistant Professor | M.Sc(CS) | 8+ Years | |
| Mrs. Pallavi Patil | Assistant Professor | MCA | 4.5 Years | |
| Ms. Kanchan Patil | Assistant Professor | M.Sc. (CS) | 1.4 Years | |
Preamble
The B.Sc. (Information Technology) and B.Sc. (Information Technology) (Honors/Research) is specially structured three and four years program respectively with Information Technology as a major subject under the faculty of Science and Technology.
The objective of the course is to think analytically, creatively and critically in developing robust, extensible and highly maintainable technological solutions to simple and complex problems or to pursue advance studies and research in Information Technology. The syllabus which comprises of Information Technology (Major) subject along with that of three allied subjects (Mathematics, Electronics, Statistics) (Minor) covers the key aspects of Information technology and also develops the necessary professional skills and problem solving abilities using Information Technology.
Introduction:
Information Technology is the study of quantity, structure, space and change, focusing on problem solving, application development with wider scope of application in science and technology, social sciences etc. throughout the world in last couple of decades and it has carved out a space for itself like any other disciplines of basic Science and Technology.
The Students completing this programme will be able to present software application clearly and precisely, make abstract ideas precise by formulating them in the computer languages. Completion of this programme will also enable the learners to join teaching profession, enhance their employability for government jobs, jobs in software industry, banking, insurance and investment sectors, data analyst jobs and jobs in various other public and private enterprises.
At the First year, course is based on problem solving and programming along with Designing and Development Skills. Primary Concepts of C Programming, Python, Database and Computer Networking are also introduced in course. The practical courses are designed to support the theoretical training in the year.
Along with Information Technology (Major), VSC and SEC courses helps in building a personality. Another Aspect of this course is IKS which tells about the rich heritage and advancement of India in the field of computation.
At the second year, computational problem solving skills are further strengthened by course in Data Structure using python. Object Oriented Programming using Java and Programming Concepts in Database Management System are also introduced in this year.
At the third year, all the courses are designed to fulfill core Information technology requirements as well as the needs of the IT industry. Major elective courses are taking care of recent trends in the field of Information Technology.
Minor and skills Enhancement courses enable the students to acquire additional skills.
At the fourth year (Honors) and (Research), all the subjects are designed to fulfill core Information Technology requirements as well as meet the needs of the IT industry.
Practical courses and field projects enable students to get hands on training. Numerous learning tracks are open through major elective courses. Research Methodology course will create interest among a student to bring research in the field of Information Technology.
Objectives
- Equip students with the knowledge and skills to design, implement, and manage computer networks, ensuring secure and efficient communication.
- To apply their knowledge and skills to be employed and excel in IT professional careers and/or to continue their education in IT and/or related Post Graduate programs.
- It enables an IT graduate to start their own Software Development Company.
- To make the students industry ready by teaching them to apply the technologies in various fields of IT, including Mobile applications, Web site Development and Management, Databases, and Computer Networks.
Eligibility
- Higher secondary school certificate (10+2) Science or its equivalent examination with English.
OR
- Three-year diploma course from the board of technical education conducted by Government of Maharashtra or its equivalent.
OR
- Higher secondary school certificate (10+2) Examination with English and a vocational subject of +2 level (MCVC)
PO No. | Outcomes |
PO1 | Analyses a problem and identify and define the computing requirements appropriate to its solution |
PO2 | Focuses on preparing students for roles pertaining to computer applications and IT industry |
PO3 | Developing programming skills, networking skills, learn applications, programming languages and modern techniques of IT |
PO4 | Get skills and information about computers and information technology |
PO5 | Learn programming languages such as C, Python, Java, HTML, PHP, SQL, etc. |
PO6 | Information about various computer applications and latest development in IT. |
PO7 | Gives overview of the topics in IT like networking, computer graphics, web development, trouble shooting, and hardware and software skills. |
PO8 | Ability to select appropriate techniques to tackle and solve problems in the discipline of Information Technology. |
.
Name Of Faculty | Designation | Qualification | Experience | Photo |
|---|---|---|---|---|
| Mrs. Dipali L. Mahajan | Program Coordinator | M.Sc. (C.S.) SET | 16 Years |  |
| Dr Anuradha Ghodke | Assistant Professor | MA MPhil PhD (English) | 16+ Years |  |
| Mrs. Prajakta A Yeole | Assistant Professor | MCA | 1 Year |  |
| Ms. Shivani S Tikone | Assistant Professor | M.Sc(CS) | 2 Years |  |
| Mrs. Pallavi Suryawanshi | Assistant Professor | M.Sc(CS) | 8+ Years |  |
| Mrs. Pallavi Patil | Assistant Professor | MCA | 4.5 Years |  |
| Ms. Kanchan Patil | Assistant Professor | M.Sc. (CS) | 1.4 Years |  |
BSc. in Nanoscience & Nanotechnology is a six-semester course: Bachelor of Science in Nanoscience & Nanotechnology is an undergraduate course. Basically, Nanotechnology is the study of manipulating matter on a molecular and atomic scale. It generally deals with structures with at least one dimension between one to a hundred nanometres and involves developing materials or technologies with at least one dimension within that scale. In the quantum domain, quantum mechanical effects are extremely relevant at this size. Nanotechnology encompasses a wide range of activities, from extending traditional device physics to new ways based on molecular self-assembly, from discovering novel nanoscale materials to determining if we can directly manipulate matter at the atomic scale.
Scope in India: Nanotechnology has ramifications in India in the fields of telecommunications, computing, aircraft, solar energy, and the environment. Nanotech’s primary contribution, on the other hand, may be observed in the fields of computers, communication, and medicine. The most important area of Nanotechnology is Nanomedicine.
- The main objective is to educate students with fundamental and applied themes in nanoscience and technology, preparing them to contribute through long-term academic and professional activities.
- Students will be trained and molded to do cutting-edge research in the interdisciplinary fields of experimental and computational nanotechnology.
- The curriculum aims to give in-depth knowledge of fundamental areas of nanoscience and technology, with a focus on nanoscale synthesis, visualization, and manipulation. It is anticipated that students will be prepared for positions in the nanomaterials, nanobiotechnology, and nanoelectronics industries. Faculty from the Chemistry and Physics Departments will teach the classes. Furthermore, guest lecturers from industry and academia will be recruited regularly to provide a broader perspective on the subject while keeping current industry requirements in mind.
General examination pattern: Generally, students are evaluated based on lab exercises, assignments, small projects, mid-semester examinations, and end-semester examinations.
- Research, development and innovation in industries based on new scientific and technical knowledge (biotechnology, microelectronics, telecommunications, energy storage, new materials, etc.) and also in innovative traditional industries (chemistry, pharmaceuticals, biomedicine, ceramics, textiles, etc.)
- Management, control and strategic planning of nanotechnological techniques, processes and products in the industries of electronics, telecommunications, biomedicine, biotechnology, pharmacology, etc.
BSc. in Nanoscience & Nanotechnology is a six-semester course: Bachelor of Science in Nanoscience & Nanotechnology is an undergraduate course. Basically, Nanotechnology is the study of manipulating matter on a molecular and atomic scale. It generally deals with structures with at least one dimension between one to a hundred nanometres and involves developing materials or technologies with at least one dimension within that scale. In the quantum domain, quantum mechanical effects are extremely relevant at this size. Nanotechnology encompasses a wide range of activities, from extending traditional device physics to new ways based on molecular self-assembly, from discovering novel nanoscale materials to determining if we can directly manipulate matter at the atomic scale.
Scope in India: Nanotechnology has ramifications in India in the fields of telecommunications, computing, aircraft, solar energy, and the environment. Nanotech’s primary contribution, on the other hand, may be observed in the fields of computers, communication, and medicine. The most important area of Nanotechnology is Nanomedicine.
- The main objective is to educate students with fundamental and applied themes in nanoscience and technology, preparing them to contribute through long-term academic and professional activities.
- Students will be trained and molded to do cutting-edge research in the interdisciplinary fields of experimental and computational nanotechnology.
- The curriculum aims to give in-depth knowledge of fundamental areas of nanoscience and technology, with a focus on nanoscale synthesis, visualization, and manipulation. It is anticipated that students will be prepared for positions in the nanomaterials, nanobiotechnology, and nanoelectronics industries. Faculty from the Chemistry and Physics Departments will teach the classes. Furthermore, guest lecturers from industry and academia will be recruited regularly to provide a broader perspective on the subject while keeping current industry requirements in mind.
General examination pattern: Generally, students are evaluated based on lab exercises, assignments, small projects, mid-semester examinations, and end-semester examinations.
- Research, development and innovation in industries based on new scientific and technical knowledge (biotechnology, microelectronics, telecommunications, energy storage, new materials, etc.) and also in innovative traditional industries (chemistry, pharmaceuticals, biomedicine, ceramics, textiles, etc.)
- Management, control and strategic planning of nanotechnological techniques, processes and products in the industries of electronics, telecommunications, biomedicine, biotechnology, pharmacology, etc.
Introduction-
The Bachelor of Science in Artificial Intelligence and Machine Learning (B.Sc. (AI & ML)) and B.Sc. (AI & ML) Honors and Research; program is designed to provide advanced education and training in the field of AI and ML.
Driven by the combination of increased access to data, computational power, and improved algorithms, Artificial Intelligence (AI) technologies are entering the mainstream of technological innovation.
These technologies include search, machine learning, and natural language processing, robotics and computer vision.
This course will also introduce the field of Machine Learning, in particular focusing on the Core concepts of supervised, unsupervised learning and reinforcement learning.
In supervised learning we will discuss algorithms which are trained on input data labeled with a desired output, for instance an image of a face and the name of the person whose face it is, and learn a function mapping from the input to the output.
Unsupervised learning aims to discover latent structure in input data where no output labels are available.
Students will learn the algorithms which underpin many popular Machine Learning techniques, as well as developing an understanding of the theoretical relationships between these algorithms.
Objectives of the Program:
The B.Sc. in Artificial Intelligence and Machine Learning (AI & ML) aims to provide students with a strong foundation in computer science, mathematics, and the theoretical and practical aspects of AI and ML.
The primary objectives of the program are:
- To build a strong foundational knowledge of core concepts in artificial intelligence, machine learning, data science, and computer programming.
- To develop analytical and problem-solving skills necessary to design, develop, and deploy AI/ML models and systems.
- To provide hands-on experience with modern tools, programming languages, and frameworks used in AI and ML through lab sessions, projects, and internships.
- To cultivate innovation and research aptitude in emerging areas of intelligent systems, deep learning, robotics, natural language processing, and more.
- To prepare students for careers in industries such as technology, healthcare, finance, and manufacturing, where AI and ML are transforming operations and decision-making.
Eligibility-
Passed Standard XII (10+2) or equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/
Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering
Graphics/ Business Studies from any recognized Board with a minimum of 50% marks or equivalent grade (45% marks or equivalent grade for Scheduled Caste/ Scheduled Tribes).
Dr. Harshita Vachhani -Head, Dept. of B.Sc. (AI/ML )
Programme Outcomes-
On the successful completion of the program, the following are the expected outcomes.
PO1: Apply basic principles of AI in solutions that require problem solving, inference, perception, knowledge representation, and learning.
PO2: Demonstrate awareness and a fundamental understanding of various applications of AI techniques in intelligent agents, expert systems, artificial neural networks and other machine learning models.
PO3: Identify problems where artificial intelligence techniques are applicable and demonstrate ability to share in discussions of AI, its current scope and limitations, and societal implications.
PO4: Demonstrate proficiency in applying scientific method to models of machine learning.
PO5: Develop an appreciation for what is involved in learning models from data by understanding a wide variety of learning algorithms and by understanding of the strengths and weaknesses of many popular machine learning approaches
PO6: To apply the algorithms to a real-world problem, optimize the models learned and report on the expected accuracy that can be achieved by applying the ML models.
PO7: Consider the pros and cons when choosing ML / AI methods for different applications
PO8: Appreciate the underlying mathematical relationships within and across Machine Learning an AI
PO8: Conduct investigations of complex problems by using research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO9: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
PO10: Communicate effectively on complex engineering activities with then engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give clear instructions.
Introduction-
The Bachelor of Science in Artificial Intelligence and Machine Learning (B.Sc. (AI & ML)) and B.Sc. (AI & ML) Honors and Research; program is designed to provide advanced education and training in the field of AI and ML.
Driven by the combination of increased access to data, computational power, and improved algorithms, Artificial Intelligence (AI) technologies are entering the mainstream of technological innovation.
These technologies include search, machine learning, and natural language processing, robotics and computer vision.
This course will also introduce the field of Machine Learning, in particular focusing on the Core concepts of supervised, unsupervised learning and reinforcement learning.
In supervised learning we will discuss algorithms which are trained on input data labeled with a desired output, for instance an image of a face and the name of the person whose face it is, and learn a function mapping from the input to the output.
Unsupervised learning aims to discover latent structure in input data where no output labels are available.
Students will learn the algorithms which underpin many popular Machine Learning techniques, as well as developing an understanding of the theoretical relationships between these algorithms.
Objectives of the Program:
The B.Sc. in Artificial Intelligence and Machine Learning (AI & ML) aims to provide students with a strong foundation in computer science, mathematics, and the theoretical and practical aspects of AI and ML.
The primary objectives of the program are:
- To build a strong foundational knowledge of core concepts in artificial intelligence, machine learning, data science, and computer programming.
- To develop analytical and problem-solving skills necessary to design, develop, and deploy AI/ML models and systems.
- To provide hands-on experience with modern tools, programming languages, and frameworks used in AI and ML through lab sessions, projects, and internships.
- To cultivate innovation and research aptitude in emerging areas of intelligent systems, deep learning, robotics, natural language processing, and more.
- To prepare students for careers in industries such as technology, healthcare, finance, and manufacturing, where AI and ML are transforming operations and decision-making.
Eligibility-
Passed Standard XII (10+2) or equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/
Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering
Graphics/ Business Studies from any recognized Board with a minimum of 50% marks or equivalent grade (45% marks or equivalent grade for Scheduled Caste/ Scheduled Tribes).
BSc AI/ML SyllabusDr. Harshita Vachhani -Head, Dept. of B.Sc. (AI/ML )
Programme Outcomes-
On the successful completion of the program, the following are the expected outcomes.
PO1: Apply basic principles of AI in solutions that require problem solving, inference, perception, knowledge representation, and learning.
PO2: Demonstrate awareness and a fundamental understanding of various applications of AI techniques in intelligent agents, expert systems, artificial neural networks and other machine learning models.
PO3: Identify problems where artificial intelligence techniques are applicable and demonstrate ability to share in discussions of AI, its current scope and limitations, and societal implications.
PO4: Demonstrate proficiency in applying scientific method to models of machine learning.
PO5: Develop an appreciation for what is involved in learning models from data by understanding a wide variety of learning algorithms and by understanding of the strengths and weaknesses of many popular machine learning approaches
PO6: To apply the algorithms to a real-world problem, optimize the models learned and report on the expected accuracy that can be achieved by applying the ML models.
PO7: Consider the pros and cons when choosing ML / AI methods for different applications
PO8: Appreciate the underlying mathematical relationships within and across Machine Learning an AI
PO8: Conduct investigations of complex problems by using research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO9: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
PO10: Communicate effectively on complex engineering activities with then engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give clear instructions.
Introduction
In today’s interconnected world, the proliferation of digital technologies has brought about unprecedented convenience and efficiency. However, this digital transformation has also led to an increase in cyber threats, making cyber security an essential field. Cyber-attacks can cause significant harm to individuals, businesses, and national security. As a result, there is a growing demand for skilled cyber security professionals who can protect sensitive information and critical infrastructure. The B.Sc. in Cyber Security program is designed to address this demand by providing students with a comprehensive education in the field. Aligned with the National Education Policy (NEP) 2020, this program emphasizes a holistic, flexible, and multidisciplinary approach to education, preparing students for the complexities of the cyber security landscape. The Program is of Three Years duration with six semesters. It is a Full-Time Degree Program. The program will be based on the Choice-based credit system comprising 140 credit points.
Objectives:
- To Develop Proficiency in Cyber Security: Equip students with the skills to protect Information systems against cyber threats and vulnerabilities.
- To provide hands-on experience with current security technologies and tools.
- To an understanding of the ethical, legal, and societal implications of cyber security practices.
- To encourage innovative problem-solving and critical analysis of security issues.
- To develop an understanding of the global context and cultural dimensions of cyber security
Intake: 80 Students
Highlights:
- Excellent Infrastructure with spacious class rooms, computer laboratory.
- Highly qualified, experienced & approved staff.
- Seminars and Guest Lectures by Industrialists and subject experts. Technical & Non-technical program are arranged to enhance the IT & soft skills.
- Project Guidance by alumni’s and industrialists. Student mentoring system for giving personal touch to each of the students.
- The faculty members provide constant support and every piece of advice to the students whenever he/she faces a problem with any aspect of the curriculum or any personal problems.
Eligibility:
- Higher secondary school certificate (10+2) or its equivalent examination with English OR
- Three-year diploma course from the board of technical education conducted by Government of Maharashtra or its equivalent OR
- Higher secondary school certificate (10+2) Examination with English and avocational subject of +2 level (MCVC)
| Name of the Faculty | Designation | Qualification | Experience | Photo |
| Mrs. Dipali L. Mahajan | Program Coordinator | M.Sc. (C.S.) SET | 16 years | |
| Dr. Aparna Joshi | Assistant Professor | M.Sc.(C.S), B.Ed, SET, Ph.D | 19 Years | |
| Mrs. Neeta Gatkal | Assistant Professor | M.Sc. (Electronics) NET | 15 years | |
| Dr Anuradha Ghodke | Assistant Professor | MA MPhil PhD (English) | 16+ years |  |
| Ms. Shivani S Tikone | Assistant Professor | M.Sc(CS) | 2 years |  |
| Mrs. Pallavi Suryawanshi | Assistant Professor | M.Sc(CS) | 8+ years |  |
| Mrs. Pallavi Patil | Assistant Professor | MCA | 4.5 Years |  |
| Mrs. Prajakta A Yeole | Assistant Professor | MCA | 1 years |  |
| Ms. Kanchan Patil | Assistant Professor | M.Sc(CS) | 1.4 Years |  |
| Mrs. Madhuri Chaudhari | Assistant Professor | MCA, Pursuing Ph.D | 10+ Years |  |
| Mrs. Mayura Sawant | Assistant Professor | M.Sc(CS) | 9 Years |  |
IT Resources:
Sr. No. | Name | Total No of License |
01 | Antivirus Software: Quick heal Seqrite for Windows | Admin Console 500/- Copies 2 |
02 | Microsoft | Campus Agreement 3 |
03 | Linux Kali | Open Sources |
Physical Facilities
1. No. of ICT enabled classrooms: 3 |
2. No. of Laboratories: 3 |
3. Lab 403 (Capacity – 70) |
4. Lab 404 (Capacity – 70) |
5. S4 Lab (Capacity – 40) |
6. Electronic Lab (Capacity – 40) |
Introduction-
The Bachelor of Science in Artificial Intelligence and Machine Learning (B.Sc. (AI & ML)) and B.Sc. (AI & ML) Honors and Research; program is designed to provide advanced education and training in the field of AI and ML.
Driven by the combination of increased access to data, computational power, and improved algorithms, Artificial Intelligence (AI) technologies are entering the mainstream of technological innovation.
These technologies include search, machine learning, and natural language processing, robotics and computer vision.
This course will also introduce the field of Machine Learning, in particular focusing on the Core concepts of supervised, unsupervised learning and reinforcement learning.
In supervised learning we will discuss algorithms which are trained on input data labeled with a desired output, for instance an image of a face and the name of the person whose face it is, and learn a function mapping from the input to the output.
Unsupervised learning aims to discover latent structure in input data where no output labels are available.
Students will learn the algorithms which underpin many popular Machine Learning techniques, as well as developing an understanding of the theoretical relationships between these algorithms.
Objectives of the Program:
The B.Sc. in Artificial Intelligence and Machine Learning (AI & ML) aims to provide students with a strong foundation in computer science, mathematics, and the theoretical and practical aspects of AI and ML.
The primary objectives of the program are:
- To build a strong foundational knowledge of core concepts in artificial intelligence, machine learning, data science, and computer programming.
- To develop analytical and problem-solving skills necessary to design, develop, and deploy AI/ML models and systems.
- To provide hands-on experience with modern tools, programming languages, and frameworks used in AI and ML through lab sessions, projects, and internships.
- To cultivate innovation and research aptitude in emerging areas of intelligent systems, deep learning, robotics, natural language processing, and more.
- To prepare students for careers in industries such as technology, healthcare, finance, and manufacturing, where AI and ML are transforming operations and decision-making.
Eligibility-
Passed Standard XII (10+2) or equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/
Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering
Graphics/ Business Studies from any recognized Board with a minimum of 50% marks or equivalent grade (45% marks or equivalent grade for Scheduled Caste/ Scheduled Tribes).
Dr. Harshita Vachhani -Head, Dept. of B.Sc. (AI/ML )
Programme Outcomes-
On the successful completion of the program, the following are the expected outcomes.
PO1: Apply basic principles of AI in solutions that require problem solving, inference, perception, knowledge representation, and learning.
PO2: Demonstrate awareness and a fundamental understanding of various applications of AI techniques in intelligent agents, expert systems, artificial neural networks and other machine learning models.
PO3: Identify problems where artificial intelligence techniques are applicable and demonstrate ability to share in discussions of AI, its current scope and limitations, and societal implications.
PO4: Demonstrate proficiency in applying scientific method to models of machine learning.
PO5: Develop an appreciation for what is involved in learning models from data by understanding a wide variety of learning algorithms and by understanding of the strengths and weaknesses of many popular machine learning approaches
PO6: To apply the algorithms to a real-world problem, optimize the models learned and report on the expected accuracy that can be achieved by applying the ML models.
PO7: Consider the pros and cons when choosing ML / AI methods for different applications
PO8: Appreciate the underlying mathematical relationships within and across Machine Learning an AI
PO8: Conduct investigations of complex problems by using research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO9: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
PO10: Communicate effectively on complex engineering activities with then engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give clear instructions.
Introduction
Welcome to the B.Sc.(Data Science) programme! This programme is designed to empower students with knowledge and skills required to thrive in an era of data science and technology. By choosing B.Sc. (Data Science) Programme, students enter into the dynamic field of data science and data analytics. Students will engage and build strong foundation in mathematics, statistics, computer science and ethical data practices. This programme not only equips students with technical expertise but also fosters a mindset of continuous learning, adaptability and ethical leadership.
Why Choose B.Sc. in Data Science?
- High Demand – Skilled data professionals are needed worldwide, with roles often offering remote work flexibility.
- Lucrative Career Opportunities – Students can work as data scientists, machine learning engineers, data analysts, AI specialists, or business intelligence analysts.
- Cross-Disciplinary Applications – Data science is used in everything from disease prediction to stock market analysis, climate modeling to customer behavior prediction, sports to Government and many more.
- Global Career Mobility – It enhances your credibility in the job market and can fast-track immigration pathways in tech-focused countries.
Career Scope
- Private Sector Opportunities –
- Corporate Roles
- Industry Applications
- Global Opportunities
- Start a data analytics or AI-driven startup.
- Work as a freelance consultant offering specialized data science services
- Government and Public Sector Careers
- Data Officer/Analyst Roles
- Research Organizations
- Competitive Exam-Based Roles
- Public Health and Policy
- Higher Education
- Master’s in Data Science, AI, or Machine Learning.
- M.B.A
- PhD for advanced research and academic careers
Other features
- Field Visits – NSO, Onion Garlic Research Centre, Vasantdada Sugar Institute and many more
- Projects & Research Work – Student friendly Faculty Members who help in projects and research work.
- Practicals – Practicals are conducted in R, Python and Other Softwares. (One Student – One Desktop)
Objectives of B.Sc. Data Science
The primary objectives of a B. Sc. data science course are to equip individuals with the skills to extract, analyze, and interpret data, ultimately driving informed decision-making and problem-solving. These courses aim to develop expertise in statistical analysis, machine learning, data visualization, and data wrangling, while also fostering an understanding of the ethical considerations within data science.
Core Data Science Skills:
- Data Extraction and Preparation:
Learning how to gather, clean, and transform raw data into a usable format.
- Statistical Analysis:
Understanding and applying statistical methods to analyze data, identify patterns, and draw inferences.
- Machine Learning:
Developing skills in building and applying machine learning models for prediction, classification, and other analytical tasks.
- Data Visualization:
Creating effective visualizations to communicate insights and trends from data.
- Data Mining:
Exploring and discovering patterns and relationships within large datasets.
Broader Objectives:
- Informed Decision Making:
Using data analysis to support better business decisions, improve processes, and optimize outcomes.
- Problem Solving:
Applying data science techniques to solve real-world problems across various domains.
- Ethical Considerations:
Understanding the ethical implications of data collection, analysis, and usage, including issues like privacy and bias.
- Communication of Results:
Effectively communicating data-driven insights and recommendations to both technical and non-technical audiences.
- Real-World Applications:
Gaining experience in applying data science techniques to practical scenarios and industries.
Eligibility
(a) Higher Secondary School Certificate (10+2) Science Stream or its equivalent examination
OR
(b) Three Years Diploma Course after S.S.C. (10th standard) of Board of Technical Education conducted by Government of Maharashtra or its equivalent
Introduction-
The Bachelor of Science in Artificial Intelligence and Machine Learning (B.Sc. (AI & ML)) and B.Sc. (AI & ML) Honors and Research; program is designed to provide advanced education and training in the field of AI and ML.
Driven by the combination of increased access to data, computational power, and improved algorithms, Artificial Intelligence (AI) technologies are entering the mainstream of technological innovation.
These technologies include search, machine learning, and natural language processing, robotics and computer vision.
This course will also introduce the field of Machine Learning, in particular focusing on the Core concepts of supervised, unsupervised learning and reinforcement learning.
In supervised learning we will discuss algorithms which are trained on input data labeled with a desired output, for instance an image of a face and the name of the person whose face it is, and learn a function mapping from the input to the output.
Unsupervised learning aims to discover latent structure in input data where no output labels are available.
Students will learn the algorithms which underpin many popular Machine Learning techniques, as well as developing an understanding of the theoretical relationships between these algorithms.
Objectives of the Program:
The B.Sc. in Artificial Intelligence and Machine Learning (AI & ML) aims to provide students with a strong foundation in computer science, mathematics, and the theoretical and practical aspects of AI and ML.
The primary objectives of the program are:
- To build a strong foundational knowledge of core concepts in artificial intelligence, machine learning, data science, and computer programming.
- To develop analytical and problem-solving skills necessary to design, develop, and deploy AI/ML models and systems.
- To provide hands-on experience with modern tools, programming languages, and frameworks used in AI and ML through lab sessions, projects, and internships.
- To cultivate innovation and research aptitude in emerging areas of intelligent systems, deep learning, robotics, natural language processing, and more.
- To prepare students for careers in industries such as technology, healthcare, finance, and manufacturing, where AI and ML are transforming operations and decision-making.
Eligibility-
Passed Standard XII (10+2) or equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/
Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering
Graphics/ Business Studies from any recognized Board with a minimum of 50% marks or equivalent grade (45% marks or equivalent grade for Scheduled Caste/ Scheduled Tribes).
Dr. Harshita Vachhani -Head, Dept. of B.Sc. (AI/ML )
Programme Outcomes-
On the successful completion of the program, the following are the expected outcomes.
PO1: Apply basic principles of AI in solutions that require problem solving, inference, perception, knowledge representation, and learning.
PO2: Demonstrate awareness and a fundamental understanding of various applications of AI techniques in intelligent agents, expert systems, artificial neural networks and other machine learning models.
PO3: Identify problems where artificial intelligence techniques are applicable and demonstrate ability to share in discussions of AI, its current scope and limitations, and societal implications.
PO4: Demonstrate proficiency in applying scientific method to models of machine learning.
PO5: Develop an appreciation for what is involved in learning models from data by understanding a wide variety of learning algorithms and by understanding of the strengths and weaknesses of many popular machine learning approaches
PO6: To apply the algorithms to a real-world problem, optimize the models learned and report on the expected accuracy that can be achieved by applying the ML models.
PO7: Consider the pros and cons when choosing ML / AI methods for different applications
PO8: Appreciate the underlying mathematical relationships within and across Machine Learning an AI
PO8: Conduct investigations of complex problems by using research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO9: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
PO10: Communicate effectively on complex engineering activities with then engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give clear instructions.
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Department of B.Sc. (CA)
Programs and Course Outcomes
Program Outcome
Course Outcome
- F. Y. B.Sc.(CA)
- S. Y. B.Sc.(CA)
- T.Y.B.C.A. (Science)
- M.Sc(CA)
Department of B.Sc. (CA)
Programs and Course Outcomes
Program Outcome
Course Outcome
- F. Y. B.Sc.(CA)
- S. Y. B.Sc.(CA)
- T.Y.B.C.A. (Science)
- M.Sc(CA)
B.Sc(Reg.)
Establishment / Milestones
The B.Sc. (Regular) Department was established in 2016 with an initial intake of 19 students. Currently, the department caters to around 150 students, offering specializations in Statistics and Chemistry. The department was founded with the primary objective of fostering scientific aptitude, skills, and awareness among students, grounded in a strong foundation of basic sciences. The program is designed to cultivate a scientific temper, encouraging independent thought, logical reasoning, and the ability to make rational and informed decisions. It also promotes an interdisciplinary approach to knowledge, aiming to empower students to contribute meaningfully to a dynamic and evolving society.
B.Sc. (Statistics)
Duration: 4 Years
Eligibility:
Eligibility: Higher secondary school certificate (10+2) or its equivalent examination with English & Mathematics & with any three science subjects such as Physics, Chemistry, Biology, Geography, Geology etc.
Highlights – B.Sc. (Statistics)
- Highly Qualified Faculty (Ph.D., NET, SET)
- Expert Career Guidance
- Field Visits & Industrial Exposure
- Hands-On Training Sessions
- Guest Lectures, Seminars & Workshops
- Personalized Mentoring Support
- Participation in Science Association for Holistic Development
Value Addition – B.Sc. (Statistics)
- Training and Placement Cell – Pratibha Finishing School
- Pre-placement Activities & Soft Skills Training
- Plastic Waste Collection Drives
- “Best Out of Waste” Activities
- Environmental Sustainability Initiatives
- Cancer Awareness Program Mentoring
Facilities and Resources – B.Sc. (Statistics)
- Smart Digital Classrooms
- Well-equipped Computer Labs
- High-End Systems with Latest Statistical & Analytical Software
Career Opportunities – B.Sc. (Statistics)
- Data Analyst / Business Analyst
- Statistical Officer (Govt. Agencies)
- Market Research Analyst
- Banking and Financial Analyst
- Actuarial Analyst
- Quality Control Analyst
- Research Assistant
- Biostatistician
- Higher Education
- Competitive Exams: UPSC, MPSC, CSIR-NET, GATE
B.Sc. (Chemistry)
Duration: 4 Years
Eligibility:
Eligibility: Higher secondary school certificate (10+2) or its equivalent examination with English with any three science subjects such as Physics, Chemistry, Biology, mathematics, Geography, Geology etc.
Highlights – B.Sc. (Chemistry)
- Highly Qualified Faculty (Ph.D., NET, SET)
- Expet Career Guidance
- Field Visits & Industrial Exposure
- Hands-On Training Sessions
- Guest Lectures, Seminars & Workshops
- Personalized Mentoring Support
- Participation in Science Association for Holistic Development
Value Addition – B.Sc. (Chemistry)
- Training and Placement Cell – Pratibha Finishing School
- Pre-placement Activities & Soft Skills Training
- Plastic Waste Collection Drives
- “Best Out of Waste” Activities
- Environmental Sustainability Initiatives.
- Cancer Awareness Program Mentoring
Facilities and Resources – B.Sc. (Chemistry)
- Smart Classrooms
- Modern Computer Labs with Chemistry Software & Simulations
- Well-Equipped Chemistry Laboratories
Career Opportunities – B.Sc. (Chemistry)
- Lab Technician / Chemical Analyst
- QA/QC Roles in Pharma & Chemical Industries
- Research Assistant
- Environmental & Analytical Chemist
- Production Chemist
- Science Communicator / Technical Writer
- Higher Studies: M.Sc., Environmental Science, etc.
- Competitive Exams: UPSC, MPSC, CSIR-NET, GATE
In 2016 B.Sc. (regular) Department was established with 19 students and currently around 150 students are part of our department. This department was created with specific objectives of developing skills, aptitude and awareness amongst the students with basic knowledge of sciences. The present program will develop scientific attitude and ability to think independently and take rational and appropriate decisions at various levels of logical thinking. It also aims to develop knowledge from an interdisciplinary perspective and to empower the youth in future applicable society.
Department of Science B.Sc(Reg.)
Bachelor of Science (B.Sc ) program is an undergraduate degree of four years duration:
- Designed to nurture scientific aptitude and research-oriented thinking
- Emphasizes calculative approaches and systematic methods
- Focuses on experimentation, research, and discovery
- Integrates both theoretical and practical modes of learning
Program Objectives
- Promote & Encourage scientific inquiry-based, high-quality science education
- Disseminate knowledge from an interdisciplinary perspective
- Empower students with applicable and relevant scientific skills
Core Learning Goals
- Stress on critical thinking and logical reasoning
- Develop skills using:
- Observation
- Comparison
- Experimentation
- Mathematical manipulation of data
Commitment to Practical Applications
- Emphasis on real-world relevance of science
- Foster an understanding of science as:
- An interdisciplinary field
- A tool for societal advancement
- A discipline with practical applications across various domains
Induction Programme for Fresher’s
Industry and Excursion Tours
Industry-Academia Extension Lectures
Ph.D. /NET/SET qualified and approved faculty members with corporate exposure
Placement of Students with top companies
Focus on Experiential Learning in the form of field visit, project and so on
State Level Seminars and Workshop are organised
Excellent Infrastructure with spacious class rooms
Seminars and Guest Lectures by Industrialists and subject experts to update the current trend
Start-up are encouraged for students to get the practical exposure.
Student mentoring system
Earn and Learn scheme
Experience shared by alumni’s and industrialists.
Alumni provide Experiment based training and hands-on training.
Various Departmental activities like
National Level Model making Competition Sci-Fest, Group discussion, Online Quiz Competition, Oral Presentation Competition, Poster Making Competition, Quiz competitions, Sci-ExActa-Science Stories/Act/Movie Making, Birth anniversary celebration and Guest lectures are taken.
Remedial lectures are conducted.
Science Association club is established to nurture the student’s talent and creativity.
Separate classrooms for each class and for optional subjects.
Classrooms are well equipped with smart board and projectors.
Well-equipped labs for Physics, Chemistry, Botany & EVS.
Computer Labs with projectors & required software’s are available for Mathematics & Statistics Practical.
A separate cabin for head of the department and a common staff room.
Computers and laptops are available for teachers.
Printer is available in the department.
Departmental library with more than 200 plus books
1. Science Association
2. RBPT (Research Based Pedagogical Tools)
3. Social responsibility – No Vehicle Day
4. Learning through Statistical games
5. Listing of plant species in Campus
6. Industrial Visit/ Field Visit to esteem organizations, to provide practical knowledge to students like
“Baramati –Industrial Visit to Peppermint textile park, KVK ” Visited on 16 December 2022.
“Malavali Field Visit” visited on 17 August 2022.
“Baramati –Industrial Visit to Peppermint textile park, KVK ” visited on 16 December 2022.
Visited “Solid Waste Management ,Waste water process & Recycling Expo-” on 21st January 2023.
On the occasion of National Science day, the excursion study visit of B.Sc. students to the research institutes like “IISER, NCL and various departments (Botany, Physics) of SavitribaiPhule Pune University, Pune” to gain practical knowledge through the science exhibition on 28th February 2023.
Social Responsibility Activity with VatsalyaMatimand School Every year during Diwali. we help to sells Diwali Diyas at college premises made by Physically challenged students.
| Name of the Faculty | Designation | Qualification | Experience | Photo |
|---|---|---|---|---|
| Dr. Jayashree Muley | IQAC Director | M.Sc. (Statistics), Ph.D., M.B.A. Finance, Post Graduate Diploma in Computer Science | 22 years | |
| Dr. Rajeshree Nanaware | Program Coordinator | M.Sc. (Mathematics), B.Ed., SET, Ph.D | 15 years | |
| Dr. Surekha Jogdand | Assistant Professor | M.Sc. (Chemistry), Ph.D. | 12 years | |
| Dr. Nisha Choudhari | Assistant Professor | M.Sc. (Botany), Ph.D | 7 years | |
| Dr. Yogesh Jorapur | Assistant Professor | M.Sc. (Chemistry), Ph.D., Postdoc (Japan, S. Korea) | 2 yrs. Piramal Discovery Pharma; 8 yrs Postdoc (Japan/S. Korea); 2 yrs PG & 6 yrs UG teaching | |
| Dr. Seema Barge | Assistant Professor | M.Sc. (Chemistry), Ph.D. | 5 years | |
| Mrs. Ragini Chavan | Assistant Professor | M.Sc. (Statistics), Ph.D. (Pursuing) | 11 years | |
| Suruchi S. Somwanshi | Assistant Professor | M.Sc. (Statistics), M.Sc. (Mathematics) | 11 years | |
| Dr. Priti Kolhe | Assistant Professor | M.Sc., Ph.D. (Environmental Science) | 11 years | |
| Mr. Suklal Kumbhar | Assistant Professor | M.Sc. (Statistics), SET | 10 years | |
| Mr. Rokey Lopes | Assistant Professor | M.Sc. (Statistics) | 4 years | |
| Mrs. Amola Jeure | Assistant Professor | M.Sc. (Mathematics), B.Ed., SET | 5 years | |
| Mrs. Asmita Shrikant Sutar | Assistant Professor | M.Sc. (Statistics), B.Ed. | 7 years | |
| Mrs. Shraddha Bhilare | Assistant Professor | M.Sc. (Physics), B.Ed. | 7 years | |
| Mrs. Vishakha Kshirsagar | Assistant Professor | M.Sc. (Mathematics), B.Ed. | 3 years | |
Faculty Achievements
Dr. Jayashree Muley:
- Chairman for syllabus reframing committee of Second Year B. Sc. Statistics of Savitribai Phule Pune University.
- Chairman for paper setting of Second Year B. Sc. Statistics and S.Y. M.Sc Statistics of Savitribai Phule Pune University.
- Coordinator for the practical Exam of Second Year B. Sc. Statistics of Savitribai Phule Pune University.
- Paper reviewer at MIT A.C.S.C. Alandi & Fergusson College Pune.
- Attended workshop on “Kachara Nako g Bai” between 12th to 15 February 2025 in online mode organized by Green Works Trust.
- Attended “Happiness Program” by Sri Sri Ravishankar, Aishwaryam Ventures Group.
Dr. Rajeshree Nanaware:
- Attended One Day Syllabus Framing Workshop for S.Y.B.Sc Mathematics (As per NEP2020) on 22nd April 2025.
- Invited as Resource Person for “One day Workshop on Python Programming in Mathematics for SYBSc(CS)at CCS College Wakad on 26th October 2024
- Completed “One Week Online Workshop on Mathematics Towards Machine Learning “
- Completed Online Certificate Course Cum Workshop of 32 hours on “AI AND GOOGLE TOOLS IN EDUCATION” organized by Sanatan Dharma College, Ambala Cantt from 21 th Nov 2024 to 30 th Nov 2024 with “A” Grade.
Dr. Surekha Jogdand
- Published paper in scopus indexed Journal Surekha Jogdand, Polyhedron, 2025
- Presented paper in International Workshop “Recent Advancement in Magnetism and Magnetic Materials” November 2024 organized by VIT -AP University, AndhraPradesh
- Participated in IP awareness training Program under NIPAM, October 2024
- Completed online faculty development program on”Advanced Functional Material-current research Innovation and Application “June 2024 organized by MIT and Maharashtra academy of Science
Dr. Nisha Choudhari
- Participated and presented posters in Two days International Conference on “Agriculture, Environment and Life Sciences” on dated 21st and 22nd February 2025.
- Under the Science stream Selected as a sub-committee member of S.Y. BSc. Botany syllabus framing/Setting as per NEP (2020) pattern.
- completed 3-day online course of Environmental Analytics: Basics of R Programming and Data Processing in Ecology, conducted by THE GREEN CONCEPT INSTITUTE FOR CARBON ASSESSMENT AND RESTORATION ECOLOGY, on 26 th to 28th July 2024.
- Completed Yoga teacher training level 1 and level 2 -Yog Pravesh and Yog Parichay, Central Government of India Aayush Mantralya Recognized, Yog-Vidyadham Nashik, Maharashtra, India.
- Appointed for Examination Work as Paper setter, Practical External examiner and Paper checking and moderator from SPPU, Pune.
- worked as Botanist – to Identification of Native and Exotic Tree species and seed storage methods as a free lance work and Social Awareness under CSIR Drive organized by “The Explores” trecking group.
Dr. Seema Patil
- Participated in IP awareness training Program under NIPAM, October 2024.
Dr. Yogesh Jorapur
- Jorapur, Y. R.; Shah, D.; Kankariya, R. “Synthesis, Bio-activity, and Spectral Characterization of Different 1,4-Naphthoquinone Derivatives and their Metal Chelates Proceedings of the National Conference on Advanced Materials and Spectoscopy (NCAMS-2024), Aug., 22-23, 2024 (ISBN 978-81-978426-5-8).
- Jorapur, Y. R.; Chaudhari, N. R.; Kulkarni, A.; Chatterjee, T.; Velhal, S. “Chemical, Nutritional, and Biomolecular Characteristics of Finger Millet (Eleusine coracana L.). Afr. J. Biol. Sci., 2024, 6 (12), 967–978 (ISSN 2663–2187); doi: 10.48047/AFJBS.6.12.2024.967-978.
- Three Months Internship; Ten Students were Mentored in a Community Outreach Program on “Cancer Awareness” in collaboration with the Indian Cancer Society, Delhi, and Guru Angad Dev Teaching Learning Centre, SGTB Khalsa College, University of Delhi under PMMMNMTT of Ministry of Education between 1st Feb. to 30th April 2024.
- Acted as Resource Person and Delivered Talk on “Research Paper: Citations & Impact Factor” as part of Two Day National Level Faculty Development Programme (Online) titled “Research Paper and Project Proposal Writing”, Organized by A.C.T Academy, Keralam and SVCET, Andhra Pradesh (Feb. 7 & 8, 2025)
- Appreciation Certificate for Mentoring the IDEARUN 2024 Presentation, “Digital Marketing to Boost Home-Based Businesses” in the online event Organized by South Asia Working Group, IEEE Smart Village, Gandhinagar, September, 21, 2024.
- Appointment as an Institute for Educational Research and Publication (IFERP) Review Committee Member, Since September, 28, 2024.
- Five Days Online Research Development Program (RDP) on the theme of “Research Methodology and Ethics in Research” Organized by Pune Institute of Business Management for PGDM from Jan. 20-24, 2025.
- Five Days National Level Workshop on “Frontiers In Chemical Research: Innovations And Applications” Organized by Department of Chemistry, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai from February, 17-21, 2025
- One Day National Level Research Workshop (Virtual Mode) on “Techniques to Publish Research Papers in Peer-Reviewed Journals”, Organized by A.C.T Academy, Kerala on Dec. 05, 2024.
- One-Week Virtual Research Faculty Development Program on “Research Methodology” from June 10-15, 2024, organized by Pune Institute of Business Management for PGDM, Savitribai Phule Pune University.
- Invited as an external practical examiner for End Semester Practical/Skill Examination to examine the candidates in Course-Engineering Chemistry (AUTO 3103), for Sem-I, of program-B.Tech. Automobile, at Symbiosis Skills & Professional University, Kiwale, Pune (May 6 & 7, 2025)
- Invited as an external practical examiner for FYMSc. (Organic Chemistry) at Department of Chemistry at Modern College of Arts, Science, and Commerce, Ganeshkhind, Pune (April 09, 2025)
- Invited as an external practical examiner for SYMSc. (Organic Chemistry) at Department of Chemistry at Modern College of Arts, Science, and Commerce, Ganeshkhind, Pune (March 22-25, 2025)
- Invited as an external practical examiner for TYMSc. (Organic Chemistry) at Department of Chemistry at Modern College of Arts, Science, and Commerce, Ganeshkhind, Pune (March 12, 2025)
15.Invited as an external practical examiner for End Semester Practical/Skill Examination to examine the candidates in Course-Engineering Chemistry (AUTO 3103), for Sem-I, of program-B.Tech. Automobile, at Symbiosis Skills & Professional University, Kiwale, Pune (Dec. 03, 2024).
Mrs.Amola Jeure
Attended One Day National Conference on Recent Developments in Pure and Applied Mathematics organized by P.A.H. Solapur University Solapur on 24th February 2025.
Mr. Suklal Kumbhar: Ph.D registration in Statistics
Students’ Achievements:
- Sneha Sharma – Secured second rank in the intra-college Book Review Competition organised by KRC under the Maharashtra Project.
- Shravan Malpote –
- Awarded Pratibha Merit Cum Income (EWS) Scholarship.
- Participated in State Level Open Chess Tournament, Genba Sopanrao Moze College of Engineering.
- Secured first prize in Sci_Quizathon organised by Department of Science, Pratibha College under Pragyan 2.0.
- Participated in Chess Competition organised by PCCCS.
- Secured first prize in Flashcard Fun organised by Department of Science, Pratibha College under Pragyan 2.0.
- Shivangi Chauhan – Participated in Indian Swachhata League 2.0 organised by Pimpri Chinchwad Municipal Corporation.
- Participated in Chemistry Poster Competition during Desai Karandak 2k24-25 at H.V. Desai College.
- Attended workshop on Astrobiology and Astronauts by LIFE-To and Beyond Foundation at Indian Science Festival, Fergusson College.
- Maithili Raut – Received first rank in Water Heritage Trust Competition organised by PCMC.
- Maithili Raut – Participated in Chemistry Poster Competition at Desai Karandak 2k24-25, H.V. Desai College.
- Bhagyshree Chakravarti –
- Participated in ACT Concept Test in Chemistry organised by Association of Chemistry Teachers.
- Bhagyshree Chakravarti – Participated in Chemistry Poster Competition at Desai Karandak 2k24-25, H.V. Desai College.
- Participated in AI Ideathon 2025 organised by Pratibha College under Vigyan 2.0.
- Pooja Chaudhary – Successfully completed 3-month Internship on Cancer Awareness.
- Zeba Siddiqui –
- Participated in workshop on IKS-TKDL with 75%, organised by IKS Division, Ministry of Education & TKDL Unit.
- Attended workshop on Astrobiology and Astronauts at Indian Science Festival, Fergusson College.
- Mahendra Chaudhary –
- Participated in Indian Swachhata League 2.0 organised by PCMC.
- Participated in Model Competition organised by Poona College of Arts, Science, and Commerce.
- Apurva Donur –
- Participated in AMC Hackathon organised by Annasaheb Magar Mahavidyalaya.
- Participated in Flashcard_Fun organised by Department of Science, Pratibha College under Pragyan 2.0.
- Participated in Sci_Games organised by Department of Science, Pratibha College under Pragyan 2.0.
- Supriya Sonawane –
- Participated in Jallosh 2024 under SPPU.
- Completed Online Job Skill Training in Customer Interactive Service by WNS Global Services.
- Completed TCS iON Career Edge – Young Professionals Course.
- Sakshi Chinchkar – Completed TCS iON Career Edge – Young Professionals Course.
- Neha Khetawat –
- Completed TCS iON Career Edge – Young Professionals Course.
- Completed Mastering Microsoft Power BI Course.
- Participated in Flashcard_Fun organised by Department of Science, Pratibha College under Pragyan 2.0.
- Aaryan Shinde – Participated in Flashcard_Fun organised by Department of Science, Pratibha College under Pragyan 2.0.
- Aaryan Rasal –
Participated in Sci_Games organised by Department of Science, Pratibha College under Pragyan 2.0.
B.Sc(Reg.)
Establishment / Milestones
The B.Sc. (Regular) Department was established in 2016 with an initial intake of 19 students. Currently, the department caters to around 150 students, offering specializations in Statistics and Chemistry. The department was founded with the primary objective of fostering scientific aptitude, skills, and awareness among students, grounded in a strong foundation of basic sciences. The program is designed to cultivate a scientific temper, encouraging independent thought, logical reasoning, and the ability to make rational and informed decisions. It also promotes an interdisciplinary approach to knowledge, aiming to empower students to contribute meaningfully to a dynamic and evolving society.
B.Sc. (Statistics)
Duration: 4 Years
Eligibility:
Eligibility: Higher secondary school certificate (10+2) or its equivalent examination with English & Mathematics & with any three science subjects such as Physics, Chemistry, Biology, Geography, Geology etc.
Highlights – B.Sc. (Statistics)
- Highly Qualified Faculty (Ph.D., NET, SET)
- Expert Career Guidance
- Field Visits & Industrial Exposure
- Hands-On Training Sessions
- Guest Lectures, Seminars & Workshops
- Personalized Mentoring Support
- Participation in Science Association for Holistic Development
Value Addition – B.Sc. (Statistics)
- Training and Placement Cell – Pratibha Finishing School
- Pre-placement Activities & Soft Skills Training
- Plastic Waste Collection Drives
- “Best Out of Waste” Activities
- Environmental Sustainability Initiatives
- Cancer Awareness Program Mentoring
Facilities and Resources – B.Sc. (Statistics)
- Smart Digital Classrooms
- Well-equipped Computer Labs
- High-End Systems with Latest Statistical & Analytical Software
Career Opportunities – B.Sc. (Statistics)
- Data Analyst / Business Analyst
- Statistical Officer (Govt. Agencies)
- Market Research Analyst
- Banking and Financial Analyst
- Actuarial Analyst
- Quality Control Analyst
- Research Assistant
- Biostatistician
- Higher Education
- Competitive Exams: UPSC, MPSC, CSIR-NET, GATE
B.Sc. (Chemistry)
Duration: 4 Years
Eligibility:
Eligibility: Higher secondary school certificate (10+2) or its equivalent examination with English with any three science subjects such as Physics, Chemistry, Biology, mathematics, Geography, Geology etc.
Highlights – B.Sc. (Chemistry)
- Highly Qualified Faculty (Ph.D., NET, SET)
- Expet Career Guidance
- Field Visits & Industrial Exposure
- Hands-On Training Sessions
- Guest Lectures, Seminars & Workshops
- Personalized Mentoring Support
- Participation in Science Association for Holistic Development
Value Addition – B.Sc. (Chemistry)
- Training and Placement Cell – Pratibha Finishing School
- Pre-placement Activities & Soft Skills Training
- Plastic Waste Collection Drives
- “Best Out of Waste” Activities
- Environmental Sustainability Initiatives.
- Cancer Awareness Program Mentoring
Facilities and Resources – B.Sc. (Chemistry)
- Smart Classrooms
- Modern Computer Labs with Chemistry Software & Simulations
- Well-Equipped Chemistry Laboratories
Career Opportunities – B.Sc. (Chemistry)
- Lab Technician / Chemical Analyst
- QA/QC Roles in Pharma & Chemical Industries
- Research Assistant
- Environmental & Analytical Chemist
- Production Chemist
- Science Communicator / Technical Writer
- Higher Studies: M.Sc., Environmental Science, etc.
- Competitive Exams: UPSC, MPSC, CSIR-NET, GATE
In 2016 B.Sc. (regular) Department was established with 19 students and currently around 150 students are part of our department. This department was created with specific objectives of developing skills, aptitude and awareness amongst the students with basic knowledge of sciences. The present program will develop scientific attitude and ability to think independently and take rational and appropriate decisions at various levels of logical thinking. It also aims to develop knowledge from an interdisciplinary perspective and to empower the youth in future applicable society.
Department of Science B.Sc(Reg.)
Bachelor of Science (B.Sc ) program is an undergraduate degree of four years duration:
- Designed to nurture scientific aptitude and research-oriented thinking
- Emphasizes calculative approaches and systematic methods
- Focuses on experimentation, research, and discovery
- Integrates both theoretical and practical modes of learning
Program Objectives
- Promote & Encourage scientific inquiry-based, high-quality science education
- Disseminate knowledge from an interdisciplinary perspective
- Empower students with applicable and relevant scientific skills
Core Learning Goals
- Stress on critical thinking and logical reasoning
- Develop skills using:
- Observation
- Comparison
- Experimentation
- Mathematical manipulation of data
Commitment to Practical Applications
- Emphasis on real-world relevance of science
- Foster an understanding of science as:
- An interdisciplinary field
- A tool for societal advancement
- A discipline with practical applications across various domains
Induction Programme for Fresher’s
Industry and Excursion Tours
Industry-Academia Extension Lectures
Ph.D. /NET/SET qualified and approved faculty members with corporate exposure
Placement of Students with top companies
Focus on Experiential Learning in the form of field visit, project and so on
State Level Seminars and Workshop are organised
Excellent Infrastructure with spacious class rooms
Seminars and Guest Lectures by Industrialists and subject experts to update the current trend
Start-up are encouraged for students to get the practical exposure.
Student mentoring system
Earn and Learn scheme
Experience shared by alumni’s and industrialists.
Alumni provide Experiment based training and hands-on training.
Various Departmental activities like
National Level Model making Competition Sci-Fest, Group discussion, Online Quiz Competition, Oral Presentation Competition, Poster Making Competition, Quiz competitions, Sci-ExActa-Science Stories/Act/Movie Making, Birth anniversary celebration and Guest lectures are taken.
Remedial lectures are conducted.
Science Association club is established to nurture the student’s talent and creativity.
Separate classrooms for each class and for optional subjects.
Classrooms are well equipped with smart board and projectors.
Well-equipped labs for Physics, Chemistry, Botany & EVS.
Computer Labs with projectors & required software’s are available for Mathematics & Statistics Practical.
A separate cabin for head of the department and a common staff room.
Computers and laptops are available for teachers.
Printer is available in the department.
Departmental library with more than 200 plus books
1. Science Association
2. RBPT (Research Based Pedagogical Tools)
3. Social responsibility – No Vehicle Day
4. Learning through Statistical games
5. Listing of plant species in Campus
6. Industrial Visit/ Field Visit to esteem organizations, to provide practical knowledge to students like
“Baramati –Industrial Visit to Peppermint textile park, KVK ” Visited on 16 December 2022.
“Malavali Field Visit” visited on 17 August 2022.
“Baramati –Industrial Visit to Peppermint textile park, KVK ” visited on 16 December 2022.
Visited “Solid Waste Management ,Waste water process & Recycling Expo-” on 21st January 2023.
On the occasion of National Science day, the excursion study visit of B.Sc. students to the research institutes like “IISER, NCL and various departments (Botany, Physics) of SavitribaiPhule Pune University, Pune” to gain practical knowledge through the science exhibition on 28th February 2023.
Social Responsibility Activity with VatsalyaMatimand School Every year during Diwali. we help to sells Diwali Diyas at college premises made by Physically challenged students.
| Name of the Faculty | Designation | Qualification | Experience | Photo |
|---|---|---|---|---|
| Dr. Jayashree Muley | IQAC Director | M.Sc. (Statistics) Ph.D., M.B.A. Finance, Post Graduate Diploma in Computer Science | 22 years | |
| Dr. Rajeshree Nanaware | Program Coordinator | M.Sc. (Mathematics), B.Ed., SET, Ph.D | 15 Years | |
| Dr. Surekha Jogdand | Assistant Professor | M.Sc. (Chemistry), Ph.D. | 12 years | |
| Dr. Nisha Choudhari | Assistant Professor | M.Sc. (Botany), Ph.D | 7 years | # |
| Dr. Yogesh Jorapur | Assistant Professor | M.Sc. (Chemistry), Ph.D., Postdoc (Japan, S. Korea) | 2 yrs. Piramal Discovery Pharma; 8 yrs Postdoc. Japan/S. Korea; 2 yrs PG & 6 yrs UG teaching | |
| Dr. Seema Barge | Assistant Professor | M.Sc. (Chemistry), Ph.D. | 5 years | |
| Mrs. Ragini Chavan | Assistant Professor | M.Sc. (Statistics), Ph.D.(Perusing) | 11 years | |
| Suruchi S. Somwanshi | Assistant Professor | M.Sc. (Statistics), M.Sc.(Mathematics), | 11 years | |
| Dr. Priti Kolhe | Assistant Professor | M.Sc., Ph.D.(Environmental Science) | 11 years | |
| Mr. Suklal Kumbhar | Assistant Professor | M.Sc. (Statistics),SET | 10 years | |
| Mr. Rokey Lopes | Assistant Professor | M.Sc. (Statistics) | 4 years | |
Faculty Achievements
Dr. Jayashree Muley:
- Chairman for syllabus reframing committee of Second Year B. Sc. Statistics of Savitribai Phule Pune University.
- Chairman for paper setting of Second Year B. Sc. Statistics and S.Y. M.Sc Statistics of Savitribai Phule Pune University.
- Coordinator for the practical Exam of Second Year B. Sc. Statistics of Savitribai Phule Pune University.
- Paper reviewer at MIT A.C.S.C. Alandi & Fergusson College Pune.
- Attended workshop on “Kachara Nako g Bai” between 12th to 15 February 2025 in online mode organized by Green Works Trust.
- Attended “Happiness Program” by Sri Sri Ravishankar, Aishwaryam Ventures Group.
Dr. Rajeshree Nanaware:
- Attended One Day Syllabus Framing Workshop for S.Y.B.Sc Mathematics (As per NEP2020) on 22nd April 2025.
- Invited as Resource Person for “One day Workshop on Python Programming in Mathematics for SYBSc(CS)at CCS College Wakad on 26th October 2024
- Completed “One Week Online Workshop on Mathematics Towards Machine Learning “
- Completed Online Certificate Course Cum Workshop of 32 hours on “AI AND GOOGLE TOOLS IN EDUCATION” organized by Sanatan Dharma College, Ambala Cantt from 21 th Nov 2024 to 30 th Nov 2024 with “A” Grade.
Dr. Surekha Jogdand
- Published paper in scopus indexed Journal Surekha Jogdand, Polyhedron, 2025
- Presented paper in International Workshop “Recent Advancement in Magnetism and Magnetic Materials” November 2024 organized by VIT -AP University, AndhraPradesh
- Participated in IP awareness training Program under NIPAM, October 2024
- Completed online faculty development program on”Advanced Functional Material-current research Innovation and Application “June 2024 organized by MIT and Maharashtra academy of Science
Dr. Nisha Choudhari
- Participated and presented posters in Two days International Conference on “Agriculture, Environment and Life Sciences” on dated 21st and 22nd February 2025.
- Under the Science stream Selected as a sub-committee member of S.Y. BSc. Botany syllabus framing/Setting as per NEP (2020) pattern.
- completed 3-day online course of Environmental Analytics: Basics of R Programming and Data Processing in Ecology, conducted by THE GREEN CONCEPT INSTITUTE FOR CARBON ASSESSMENT AND RESTORATION ECOLOGY, on 26 th to 28th July 2024.
- Completed Yoga teacher training level 1 and level 2 -Yog Pravesh and Yog Parichay, Central Government of India Aayush Mantralya Recognized, Yog-Vidyadham Nashik, Maharashtra, India.
- Appointed for Examination Work as Paper setter, Practical External examiner and Paper checking and moderator from SPPU, Pune.
- worked as Botanist – to Identification of Native and Exotic Tree species and seed storage methods as a free lance work and Social Awareness under CSIR Drive organized by “The Explores” trecking group.
Dr. Seema Patil
- Participated in IP awareness training Program under NIPAM, October 2024.
Dr. Yogesh Jorapur
- Jorapur, Y. R.; Shah, D.; Kankariya, R. “Synthesis, Bio-activity, and Spectral Characterization of Different 1,4-Naphthoquinone Derivatives and their Metal Chelates Proceedings of the National Conference on Advanced Materials and Spectoscopy (NCAMS-2024), Aug., 22-23, 2024 (ISBN 978-81-978426-5-8).
- Jorapur, Y. R.; Chaudhari, N. R.; Kulkarni, A.; Chatterjee, T.; Velhal, S. “Chemical, Nutritional, and Biomolecular Characteristics of Finger Millet (Eleusine coracana L.). Afr. J. Biol. Sci., 2024, 6 (12), 967–978 (ISSN 2663–2187); doi: 10.48047/AFJBS.6.12.2024.967-978.
- Three Months Internship; Ten Students were Mentored in a Community Outreach Program on “Cancer Awareness” in collaboration with the Indian Cancer Society, Delhi, and Guru Angad Dev Teaching Learning Centre, SGTB Khalsa College, University of Delhi under PMMMNMTT of Ministry of Education between 1st Feb. to 30th April 2024.
- Acted as Resource Person and Delivered Talk on “Research Paper: Citations & Impact Factor” as part of Two Day National Level Faculty Development Programme (Online) titled “Research Paper and Project Proposal Writing”, Organized by A.C.T Academy, Keralam and SVCET, Andhra Pradesh (Feb. 7 & 8, 2025)
- Appreciation Certificate for Mentoring the IDEARUN 2024 Presentation, “Digital Marketing to Boost Home-Based Businesses” in the online event Organized by South Asia Working Group, IEEE Smart Village, Gandhinagar, September, 21, 2024.
- Appointment as an Institute for Educational Research and Publication (IFERP) Review Committee Member, Since September, 28, 2024.
- Five Days Online Research Development Program (RDP) on the theme of “Research Methodology and Ethics in Research” Organized by Pune Institute of Business Management for PGDM from Jan. 20-24, 2025.
- Five Days National Level Workshop on “Frontiers In Chemical Research: Innovations And Applications” Organized by Department of Chemistry, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai from February, 17-21, 2025
- One Day National Level Research Workshop (Virtual Mode) on “Techniques to Publish Research Papers in Peer-Reviewed Journals”, Organized by A.C.T Academy, Kerala on Dec. 05, 2024.
- One-Week Virtual Research Faculty Development Program on “Research Methodology” from June 10-15, 2024, organized by Pune Institute of Business Management for PGDM, Savitribai Phule Pune University.
- Invited as an external practical examiner for End Semester Practical/Skill Examination to examine the candidates in Course-Engineering Chemistry (AUTO 3103), for Sem-I, of program-B.Tech. Automobile, at Symbiosis Skills & Professional University, Kiwale, Pune (May 6 & 7, 2025)
- Invited as an external practical examiner for FYMSc. (Organic Chemistry) at Department of Chemistry at Modern College of Arts, Science, and Commerce, Ganeshkhind, Pune (April 09, 2025)
- Invited as an external practical examiner for SYMSc. (Organic Chemistry) at Department of Chemistry at Modern College of Arts, Science, and Commerce, Ganeshkhind, Pune (March 22-25, 2025)
- Invited as an external practical examiner for TYMSc. (Organic Chemistry) at Department of Chemistry at Modern College of Arts, Science, and Commerce, Ganeshkhind, Pune (March 12, 2025)
15.Invited as an external practical examiner for End Semester Practical/Skill Examination to examine the candidates in Course-Engineering Chemistry (AUTO 3103), for Sem-I, of program-B.Tech. Automobile, at Symbiosis Skills & Professional University, Kiwale, Pune (Dec. 03, 2024).
Mrs.Amola Jeure
Attended One Day National Conference on Recent Developments in Pure and Applied Mathematics organized by P.A.H. Solapur University Solapur on 24th February 2025.
Mr. Suklal Kumbhar: Ph.D registration in Statistics
Students’ Achievements:
- Sneha Sharma – Secured second rank in the intra-college Book Review Competition organised by KRC under the Maharashtra Project.
- Shravan Malpote –
- Awarded Pratibha Merit Cum Income (EWS) Scholarship.
- Participated in State Level Open Chess Tournament, Genba Sopanrao Moze College of Engineering.
- Secured first prize in Sci_Quizathon organised by Department of Science, Pratibha College under Pragyan 2.0.
- Participated in Chess Competition organised by PCCCS.
- Secured first prize in Flashcard Fun organised by Department of Science, Pratibha College under Pragyan 2.0.
- Shivangi Chauhan – Participated in Indian Swachhata League 2.0 organised by Pimpri Chinchwad Municipal Corporation.
- Participated in Chemistry Poster Competition during Desai Karandak 2k24-25 at H.V. Desai College.
- Attended workshop on Astrobiology and Astronauts by LIFE-To and Beyond Foundation at Indian Science Festival, Fergusson College.
- Maithili Raut – Received first rank in Water Heritage Trust Competition organised by PCMC.
- Maithili Raut – Participated in Chemistry Poster Competition at Desai Karandak 2k24-25, H.V. Desai College.
- Bhagyshree Chakravarti –
- Participated in ACT Concept Test in Chemistry organised by Association of Chemistry Teachers.
- Bhagyshree Chakravarti – Participated in Chemistry Poster Competition at Desai Karandak 2k24-25, H.V. Desai College.
- Participated in AI Ideathon 2025 organised by Pratibha College under Vigyan 2.0.
- Pooja Chaudhary – Successfully completed 3-month Internship on Cancer Awareness.
- Zeba Siddiqui –
- Participated in workshop on IKS-TKDL with 75%, organised by IKS Division, Ministry of Education & TKDL Unit.
- Attended workshop on Astrobiology and Astronauts at Indian Science Festival, Fergusson College.
- Mahendra Chaudhary –
- Participated in Indian Swachhata League 2.0 organised by PCMC.
- Participated in Model Competition organised by Poona College of Arts, Science, and Commerce.
- Apurva Donur –
- Participated in AMC Hackathon organised by Annasaheb Magar Mahavidyalaya.
- Participated in Flashcard_Fun organised by Department of Science, Pratibha College under Pragyan 2.0.
- Participated in Sci_Games organised by Department of Science, Pratibha College under Pragyan 2.0.
- Supriya Sonawane –
- Participated in Jallosh 2024 under SPPU.
- Completed Online Job Skill Training in Customer Interactive Service by WNS Global Services.
- Completed TCS iON Career Edge – Young Professionals Course.
- Sakshi Chinchkar – Completed TCS iON Career Edge – Young Professionals Course.
- Neha Khetawat –
- Completed TCS iON Career Edge – Young Professionals Course.
- Completed Mastering Microsoft Power BI Course.
- Participated in Flashcard_Fun organised by Department of Science, Pratibha College under Pragyan 2.0.
- Aaryan Shinde – Participated in Flashcard_Fun organised by Department of Science, Pratibha College under Pragyan 2.0.
- Aaryan Rasal –
Participated in Sci_Games organised by Department of Science, Pratibha College under Pragyan 2.0.
Introduction
Computer Science plays a pivotal role in this era of the digital revolution. Its presence in today’s world is ubiquitous. There is a great demand, both in industry and academia, for computer science graduates who have sound knowledge of the underlying concepts and principles of computer science as well as the ability to apply them to solve real-world problems.
The Department of Computer Science trains students to achieve these goals, which enables them to excel in their professional careers, whether in academics, research, or industry. The students study the design of digital hardware and software systems. Computer Science encompasses a wide range of topics like operating systems, computer architecture, computer networks, Mobile Computing, artificial intelligence and Software Engineering.
The Computer Science Department plays a pivotal role in advancing knowledge and skills in the field of computing. As technology continues to evolve, the department remains at the forefront of providing innovative education, cutting-edge research, and industry collaborations to prepare the next generation of computer scientists and engineers.engineers.
The Computer Science Department stands as a hub of technological innovation, fostering an environment where students can develop their skills, collaborate on groundbreaking research, and contribute to the future of computing. Through high-quality education, impactful research, and strong industry connections, we aim to create professionals who are not only technically adept but also socially responsible and capable of solving the complex problems of tomorrow’s world.
Mission & Vision:
The mission of the Computer Science Department is to provide a high-quality education that equips students with the knowledge, skills, and ethical grounding needed to excel in the ever-evolving field of computing. The department strives to foster critical thinking, creativity, and problem-solving abilities through rigorous academic programs, hands-on learning experiences, and collaborative research opportunities. Our vision is to be a leader in computer science education and research, producing graduates who contribute to technological innovation, societal advancement, and industry transformation
Objectives:
The Computer Science Department is dedicated to providing a world-class education, fostering innovative research, and preparing students for careers in the rapidly evolving field of computing. The department’s objectives guide its educational philosophy, curriculum design, research endeavors, and engagement with the community. Below are the primary objectives:
- Provide High-Quality Education
- Objective: To offer a comprehensive and rigorous curriculum that equips students with both theoretical knowledge and practical skills in computer science.
- Action: Develop and deliver courses in core areas such as programming, algorithms, data structures, software engineering, and system design, as well as specialized areas like artificial intelligence, machine learning, cybersecurity, and data science.
- Outcome: Graduates who possess a deep understanding of fundamental computing concepts and are prepared to contribute to the technology sector.
- Foster Research and Innovation
- Objective: To encourage cutting-edge research in diverse areas of computer science and foster an environment that nurtures innovation.
- Action: Promote research in areas such as artificial intelligence, blockchain technology, cybersecurity, data science, and human-computer interaction, and provide resources to faculty and students to conduct high-impact research.
- Outcome: Contribute to the advancement of knowledge and technology that addresses real-world challenges and drives progress in various industries.
- Cultivate Critical Thinking and Problem-Solving Skills
- Objective: To develop students’ ability to think critically, analytically, and creatively when solving complex problems.
- Action: Incorporate project-based learning, problem-solving tasks, hackathons, and case studies into the curriculum to ensure students are challenged to think outside the box.
- Outcome: Graduates who can approach problems with a solutions-oriented mindset and apply their skills in a variety of real-world scenarios.
- Promote Interdisciplinary Learning
- Objective: To encourage students to apply computer science principles across various domains and integrate knowledge from other fields.
- Action: Offer interdisciplinary courses and projects that combine computer science with disciplines such as bioinformatics, healthcare, economics, engineering, and social sciences.
- Outcome: Graduates who can work across multiple fields, understanding how technology intersects with other industries and solving problems in diverse areas.
- Prepare Students for the Workforce
- Objective: To ensure students are equipped with the technical and soft skills needed to succeed in the technology industry.
- Action: Collaborate with industry partners to offer internships, co-op programs, and job placements. Incorporate career preparation workshops focusing on resume building, interview techniques, and networking.
- Outcome: Graduates who are career-ready, with the technical expertise and soft skills needed to excel in fast-paced and dynamic job environments.
- Foster Lifelong Learning
- Objective: To instill a commitment to lifelong learning, encouraging students to continuously update their skills and knowledge in an ever-changing field.
- Action: Encourage participation in workshops, certification programs, and online learning platforms. Emphasize the importance of staying current with emerging technologies and trends.
- Outcome: Alumni who remain at the forefront of the technology field by continuously learning and adapting to new challenges and technologies.
- Promote Diversity and Inclusion
- Objective: To create a welcoming and inclusive environment that supports students from diverse backgrounds and fosters equality in computing.
- Action: Implement outreach programs targeting underrepresented groups in STEM, such as women, minorities, and students from disadvantaged communities. Provide mentorship and support to ensure all students succeed.
- Outcome: A more diverse student body and faculty, with equal opportunities for all to succeed in computer science.
- Engage with Industry and the Community
- Objective: To build strong partnerships with industry leaders, government bodies, and research organizations to provide students with real-world experiences and to enhance the department’s impact.
- Action: Establish industry advisory boards, invite guest speakers, collaborate on research, and organize industry-sponsored events like hackathons and coding competitions.
- Outcome: Strong connections between academia and industry, providing students with access to internships, job placements, and industry-sponsored research opportunities.
- Promote Ethical and Responsible Computing
- Objective: To ensure that students understand the ethical, legal, and social implications of their work in computer science.
- Action: Integrate courses and discussions on topics such as data privacy, cybersecurity, digital ethics, and the responsible use of technology.
- Outcome: Graduates who are aware of the societal impact of technology and who can make responsible and ethical decisions in their professional careers.
- Support Faculty Development and Research Excellence
- Objective: To attract and retain high-quality faculty members who are experts in their fields and committed to both teaching and research.
- Action: Provide support for faculty development through professional development programs, research funding, and collaboration opportunities.
- Outcome: A team of faculty members who are leaders in their respective research areas and who provide a high standard of education and mentorship to students.
Speacial Features
- Take-Flight ‘ -Induction Programme for Fresher’s
- Industry and Excursion Tours
- Corporate Week sessions by Industry Experts
- Ph.D. /NET/SET qualified and approved faculty members with corporate exposure
- Placement of Students with top companies
- Focus on Experiential Learning in the form of field visit, project and so on.
- National Level, State Level Seminars and Workshop, Quiz are organised.
- Excellent Infrastructure with spacious class rooms.
- Seminars and Guest Lectures by Industrialists and subject experts to update the
current trend
- Start-up are encouraged for students to get the practical exposure.
Student Mentor -Mentee system.
- Student Earn and Learn scheme.
- Various Departmental activities like Brain O Blossom, Vitamin C, Wasted
Potential, Touch of Ink, Brian-O-Fest, Slide -o-Geek, and C-Zombies. Techintellect ,etc
- Remedial lectures are conducted.
- Computer Science Association is established to nurture the student’s talent and
creativity.
- Cutting-Edge Research Opportunities for UG & PG Students
- Strong Industry Connections for providing OJT ,field Work , Internships & Placements to Students
- Strong Focus on Ethical Computing
- Faculty Expertise and Mentorship for students betterment
- Focus on Diversity and Inclusion
- Guest Lectures & Workshops for Students to upskill them and bridge gap between Industry and Academia needs.
Open Sources :
C, php, java, netbeans, postgresql, wamp, open GL on linux platform.
- Curriculum Design and Development
- Industry Alignment: Continuously update the curriculum to align with industry trends and technological advancements (e.g., AI, Machine Learning, Cybersecurity, Blockchain).
- Hands-On Learning: Focus on practical application alongside theoretical knowledge. Incorporate labs, coding projects, and real-world problem-solving.
- Interdisciplinary Approach: Introduce courses that integrate computer science with other fields (e.g., bioinformatics, robotics, data science) to provide broader learning opportunities.
- Focus on Soft Skills: Offer courses on communication, teamwork, problem-solving, and leadership to prepare students for the workplace.
- Research Excellence
- Encourage Faculty Research: Support faculty in publishing papers, attending conferences, and engaging with the broader academic community.
- Collaborations and Grants: Actively seek research grants and build partnerships with industry to fund research projects and initiatives.
- Undergraduate Research Opportunities: Provide opportunities for undergraduate students to engage in research, perhaps through capstone projects or dedicated research labs.
- Foster Innovation: Encourage the creation of tech startups, innovation hubs, and student-led hackathons to drive entrepreneurship within the department.
- Effective Teaching Practices
- Active Learning: Use group discussions, peer coding, and problem-based learning to create an engaging, interactive learning environment.
- Diverse Assessment Methods: Include a mix of individual projects, group work, exams, and presentations to assess student performance in different ways.
- Feedback Mechanisms: Implement regular and timely feedback on assignments and projects to help students improve.
- Online Learning Platforms: Leverage MOOCs, video lectures, and online collaboration tools to complement in-person classes.
- Student Support and Engagement
- Mentorship Programs: Pair students with faculty or industry professionals who can offer guidance on both academic and career paths.
- Career Services: Provide dedicated career services that help students prepare for job placements, internships, and interviews with tech companies.
- Hackathons & Competitions: Organize coding competitions, hackathons, and code sprints to encourage collaboration and hands-on problem solving.
- Peer Learning: Set up peer tutoring, coding clubs, and student groups where students can learn from and help each other.
- Internship Opportunities: Collaborate with industry partners to provide internships and practical exposure to students.
- Inclusive Environment
- Diversity & Inclusion: Foster a diverse and inclusive environment by encouraging participation from underrepresented groups in computer science (e.g., women in tech, minority students).
- Flexible Learning Paths: Offer both part-time and full-time options, and provide online or hybrid learning for non-traditional students.
- Accessible Resources: Ensure all resources (course materials, labs, software) are accessible to students with disabilities.
- Safe and Supportive Culture: Maintain a culture where students feel comfortable voicing concerns, asking questions, and being creative without fear of judgment.
- Collaboration with Industry
- Industry Advisory Board: Establish an advisory board made up of professionals and alumni who can provide guidance on curriculum, research, and job market trends.
- Guest Lectures & Workshops: Bring in industry experts for guest lectures and hands-on workshops, allowing students to engage with real-world challenges.
- Internships and Job Placements: Build strong relationships with companies to secure internship and job placement opportunities for students.
- Technology and Infrastructure
- State-of-the-Art Labs: Keep computer labs well-equipped with the latest hardware, software, and networking tools to meet the demands of modern computing.
- Cloud Computing & Virtualization: Provide cloud-based computing environments for remote learning, experimentation, and testing.
- Security Protocols: Implement robust cybersecurity measures in both student and faculty systems to ensure data protection.
- Software Tools: Ensure that students and faculty have access to the latest software tools required for courses (e.g., IDEs, design tools, analytics software).
- Professional Development for Faculty
- Continuous Learning: Encourage faculty to continue learning by attending workshops, seminars, and pursuing further studies (e.g., online certifications, Ph.Ds).
- Collaboration Opportunities: Foster collaboration among faculty members on joint research projects, teaching innovations, and conferences.
- Industry Exposure: Allow faculty to participate in industry-based projects and collaborations to stay updated with current technology trends.
- Teaching Support: Provide training and resources for new faculty members to help them effectively teach and engage with students.
- Evaluation and Improvement
- Regular Program Evaluation: Regularly assess and revise the curriculum and teaching methods to ensure the department stays up-to-date with industry and academic trends.
- Student Feedback: Collect and act upon student feedback regarding courses, faculty, and department services.
- Accreditation & Benchmarking: Seek accreditation from recognized academic bodies and benchmark against other leading computer science programs globally.
- Alumni Network and Industry Partnerships
- Strong Alumni Network: Create a vibrant alumni network to foster career opportunities, mentorship, and donations to support the department.
- Industry Partnerships: Build long-term relationships with tech companies, government bodies, and research organizations to support funding, collaborative research, and job placement.
- Programmes & Courses Outcomes: Click Here
BSC (Computer Science)
Curricular activity:
- Conducted Remedial / Bridge course.
- Cyber Security & CPMA.
- Workshop on software development.
Co- Curricular activity:
- National Level Conference.
- “Bits Bytes in IT “& “Recent Trends in IT.
- State Level Seminar in Statistics.
- State Level Seminar In Electronic.
- Soft –Skills & Personality Development Programs.
- Career Counselling & Mentoring.
- Hands-On Industrial Training Visits.
- Guest Lecture Series.
- Sports Day.
Extra-curricular activity:
- Alumni Engagement & Take Flight.
- Live Project Trainings.
- Entrepreneurship Development.
- Departmental Activities (Techphilphia, Electrofest, Mathstract, Brain-o –Fest).
- Teacher Day Celebrations.
- Notice board.
- Parent’s meeting.
Social concern:
- Skill Development Trainings.
Faculty Achievements : Click Here
Establishment
Computer Science plays a pivotal role in this era of the digital revolution. Its presence in today’s world is ubiquitous. There is a great demand, both in industry and academia, for computer science graduates who have sound knowledge of the underlying concepts and principles of computer science as well as the ability to apply them to solve real-world problems.
The Department of Computer Science trains students to achieve these goals, which enables them to excel in their professional careers, whether in academics, research, or industry. The students study the design of digital hardware and software systems. Computer Science encompasses a wide range of topics like operating systems, computer architecture, computer networks, Mobile Computing, artificial intelligence and Software Engineering.
Objectives of Computer Science Department:
1. Possess practical and theoretical knowledge of computer science sufficient to earn a living and contribute to the development of the country.
2. Be prepared for advanced education in computer science.
3. Demonstrate proficiency in the analysis of complex problems and the synthesis of solutions to those problems.
4. Advance the state−of−the−art in computer science and software engineering through the achievement of fundamental advances, testing these advances through their application to hard problems.
5. Instruct undergraduate and Post -Graduate students in the state−of−the−art scientific and engineering methods pertinent to computer science and software engineering in order to lead students to a point of understanding where they remain inquisitive, serious, ethical, and creative problem solvers.
6. Be engaged in local, regional, and state social and economic development for the benefit of both the public and private sectors.
- ‘Take-Flight ‘ -Induction Programme for Fresher’s
- Industry and Excursion Tours
- Corporate Week sessions by Industry Experts
- Ph.D. /NET/SET qualified and approved faculty members with corporate exposure
- Placement of Students with top companies
- Focus on Experiential Learning in the form of field visit, project and so on.
- National Level , State Level Seminars and Workshop , Quiz are organised.
- Excellent Infrastructure with spacious class rooms.
- Seminars and Guest Lectures by Industrialists and subject experts to update the
current trend - Start-up are encouraged for students to get the practical exposure.
Student Mentor -Mentee system. - Student Earn and Learn scheme.
- Various Departmental activities like Brainc Blossom , Vitamin C, Wasted
Potential,Touch of Ink , Brian-O-Fest , Slide -o-Geek, C-Zommbie . Techintellect ,etc - Remedial lectures are conducted.
- Computer Science Association is established to nurture the student’s talent and
creativity.
Open Sources :
C, php, java, netbeans, postgresql, wamp, open GL on linux platform.
Infrastructure
- Industrial Visit to esteem organizations, to provide practical knowledge to students like
a. Cotton King
b. Peppermint
c. Nanadan Dairy
d. SusGarments Artisan garments - Start up activities
- Social Responsibility Activity with Vatsalya Matimand School
- Every year during Diwali. we help to sells Diwali Diyas at college premises made by Physically challenged students.
- Programmes & Courses Outcomes: Click Here
Curricular activity :
- Conducted Remedial / Bridge course.
- Cyber Security & CPMA.
- Workshop on software development.
Co- Curricular activity :
- National Level Conference.
- “Bits Bytes In IT “ & “ Recent Trends in IT.
- State Level Seminar In Statistics.
- State Level Seminar In Electronic.
- Soft –Skills & Personality Development Programs.
- Career Counseling & Mentoring.
- Hands-On Industrial Training Visits .
- Guest Lecture Series.
- Sports Day.
Extra-curricular activity :
- Alumni Engagement & Take Flight.
- Live Project Trainings.
- Entrepreneurship Development.
- Departmental Activities (Techphilphia , Electrofest ,Mathstract ,Brain-o –Fest ).
- Teacher Day Celebrations.
- Notice board.
- Parent’s meeting.
Social concern :
Skill Development Trainings.
Faculty Achievement:
Student Achievement:
Establishment / Milestones
Cyber and Digital Science is a niche subject of modern studies which will prepare students for professional work in business and industry, as well as government and law enforcement.
Students will gain insights into the design of digital technologies, and the policy challenges of deploying such technologies, with broad-based training that will draw from computer science, engineering, research methods, management, economics, and other social sciences.
Objectives
- To strengthen the basics of the subject useful in selecting various career options.
- To make students aware of cyber-crime, cyber security and learn ways to handle them.
- To produce entrepreneurs who can work in the area of Cyber and Digital Forensics.
Highlights
- 3 Years Bachelor Degree
- Affiliated to Savitribai Phule Pune University
- Highly qualified, experienced & approved staff.
- Specialized Degree with Promise of Global Career
- Focus on Experiential Learning in the form of field visit, project and so on
- Focused Practical Training
- Excellent Infrastructure with spacious class rooms, computer laboratory.
- Industry-Academia Extension Lectures
- Seminars and Guest Lectures by Industrialists and subject experts.
- Technical & Non-technical program are arranged to enhance the IT & soft skills.
- Student mentoring system for giving personal touch to each of the students.
- The faculty member provides constant support and every piece of advice to the students whenever he/she faces a problem with any aspect of the curriculum or any personal problems.
- Earn and Learn scheme
IT Resources:
| Sr. No. | Name | Total No of License |
| 01 | Antivirus Software: Quick heal Seqrite for Windows | Admin Console 500/- Copies 2 |
| 02 | Microsoft | Campus Agreement 3 |
| 03 | Linux Kali
| Open Sources |
Physical Facilities:
| Physical Facilities |
| 1. No. of IT enabled classrooms: 2 |
| 2. No. of laboratories: 3 |
| 3. T3 (Capacity – 40) |
| 4. T14 Lab (Capacity – 40) |
| 5. S4 Lab (Capacity – 40) |
| 6. Electronic Lab (Capacity – 40) |
- Guest Lectures
- Workshops/seminars
- Days Celebration
- Intra-Collegiate and Inter-collegiate Competitions
- Student Achievements in AY 2022-23:
- Ms. Kalyani Chavan from F.Y B.Sc(CDS) participated in LOGO Competition and won First prize in Intra-Collegiate Competition.
- Mr. Dhanraj Lugade from F.Y B.Sc(CDS) participated in LOGO Competition and won Third prize in Intra-Collegiate Competition.
- Ms. Bhagyashree Dudhbhate from F.Y B.Sc(CDS) won Cyber Warrior Award by Quick Heal Foundation.
- Ms. Ganga Sutar and Ms. Sinori Puranik, students of F.Y.B.Sc(CDS) won the Second and Third prize in Mathematical Model/ poster Competition organized by Department of Mathematics
- Ms. Sanskriti Thorat from F.Y B.Sc(CDS) secure 2nd Rank in Python Add-on Course conducted by SCSS`s Rajashri Shahu Mahavidyalaya (Autonomous),Latur.
- Ms. Mitusha Patil student of F.Y.B.Sc(CDS) won the 3rd Prize in Eassy Competition conducted by NSS.
Name Of Faculty | Designation | Qualification | Experience | Photo |
|---|---|---|---|---|
| Mrs. Dipali L. Mahajan | Program Coordinator | M.Sc. (C.S.) SET | 16 Years | |
| Dr. Aparna Joshi | Assistant Professor | M.Sc.(C.S), B.Ed, SET, Ph.D. | 19 Years | |
| Mrs. Neeta Gatkal | Assistant Professor | M.Sc. (Electronics) NET | 15 Years | |
| Dr Anuradha Ghodke | Assistant Professor | MA MPhil PhD (English) | 16+ Years | |
| Mrs. Prajakta A Yeole | Assistant Professor | MCA | 1 Year | |
| Mrs. Madhuri Chaudhari | Assistant Professor | MCA, Pursuing Ph.D | 10+ Years | |
| Mrs. Mayura Sawant | Assistant Professor | M.Sc(CS) | 9 Years | |
| Ms. Shivani S Tikone | Assistant Professor | M.Sc(CS) | 2 Years | |
| Mrs. Pallavi Suryawanshi | Assistant Professor | M.Sc(CS) | 8+ Years | |
| Mrs. Pallavi Patil | Assistant Professor | MCA | 4.5 Years | |
| Ms. Kanchan Patil | Assistant Professor | M.Sc. (CS) | 1.4 Years | |
Establishment / Milestones
Cyber and Digital Science is a niche subject of modern studies which will prepare students for professional work in business and industry, as well as government and law enforcement.
Students will gain insights into the design of digital technologies, and the policy challenges of deploying such technologies, with broad-based training that will draw from computer science, engineering, research methods, management, economics, and other social sciences.
Objectives
- To strengthen the basics of the subject useful in selecting various career options.
- To make students aware of cyber-crime, cyber security and learn ways to handle them.
- To produce entrepreneurs who can work in the area of Cyber and Digital Forensics.
Highlights
- 3 Years Bachelor Degree
- Affiliated to Savitribai Phule Pune University
- Highly qualified, experienced & approved staff.
- Specialized Degree with Promise of Global Career
- Focus on Experiential Learning in the form of field visit, project and so on
- Focused Practical Training
- Excellent Infrastructure with spacious class rooms, computer laboratory.
- Industry-Academia Extension Lectures
- Seminars and Guest Lectures by Industrialists and subject experts.
- Technical & Non-technical program are arranged to enhance the IT & soft skills.
- Student mentoring system for giving personal touch to each of the students.
- The faculty member provides constant support and every piece of advice to the students whenever he/she faces a problem with any aspect of the curriculum or any personal problems.
- Earn and Learn scheme
IT Resources:
Sr. No. | Name | Total No of License |
01 | Antivirus Software: Quick heal Seqrite for Windows | Admin Console 500/- Copies 2 |
02 | Microsoft | Campus Agreement 3 |
03 | Linux Kali
| Open Sources |
Physical Facilities:
Physical Facilities |
1. No. of IT enabled classrooms: 2 |
2. No. of laboratories: 3 |
3. T3 (Capacity – 40) |
4. T14 Lab (Capacity – 40) |
5. S4 Lab (Capacity – 40) |
6. Electronic Lab (Capacity – 40) |
- Guest Lectures
- Workshops/seminars
- Days Celebration
- Intra-Collegiate and Inter-collegiate Competitions
- Student Achievements in AY 2022-23:
- Ms. Kalyani Chavan from F.Y B.Sc(CDS) participated in LOGO Competition and won First prize in Intra-Collegiate Competition.
- Mr. Dhanraj Lugade from F.Y B.Sc(CDS) participated in LOGO Competition and won Third prize in Intra-Collegiate Competition.
- Ms. Bhagyashree Dudhbhate from F.Y B.Sc(CDS) won Cyber Warrior Award by Quick Heal Foundation.
- Ms. Ganga Sutar and Ms. Sinori Puranik, students of F.Y.B.Sc(CDS) won the Second and Third prize in Mathematical Model/ poster Competition organized by Department of Mathematics
- Ms. Sanskriti Thorat from F.Y B.Sc(CDS) secure 2nd Rank in Python Add-on Course conducted by SCSS`s Rajashri Shahu Mahavidyalaya (Autonomous),Latur.
- Ms. Mitusha Patil student of F.Y.B.Sc(CDS) won the 3rd Prize in Eassy Competition conducted by NSS.
Name Of Faculty | Designation | Qualification | Experience | Photo |
|---|---|---|---|---|
| Mrs. Dipali L. Mahajan | Program Coordinator | M.Sc. (C.S.) SET | 16 Years | |
| Dr. Aparna Joshi | Assistant Professor | M.Sc.(C.S), B.Ed, SET, Ph.D. | 19 Years | |
| Mrs. Neeta Gatkal | Assistant Professor | M.Sc. (Electronics) NET | 15 Years | |
| Dr Anuradha Ghodke | Assistant Professor | MA MPhil PhD (English) | 16+ Years | |
| Mrs. Prajakta A Yeole | Assistant Professor | MCA | 1 Year | |
| Mrs. Madhuri Chaudhari | Assistant Professor | MCA, Pursuing Ph.D | 10+ Years | |
| Mrs. Mayura Sawant | Assistant Professor | M.Sc(CS) | 9 Years | |
| Ms. Shivani S Tikone | Assistant Professor | M.Sc(CS) | 2 Years | |
| Mrs. Pallavi Suryawanshi | Assistant Professor | M.Sc(CS) | 8+ Years | |
| Mrs. Pallavi Patil | Assistant Professor | MCA | 4.5 Years | |
| Ms. Kanchan Patil | Assistant Professor | M.Sc. (CS) | 1.4 Years | |
Preamble
The B.Sc. (Information Technology) and B.Sc. (Information Technology) (Honors/Research) is specially structured three and four years program respectively with Information Technology as a major subject under the faculty of Science and Technology.
The objective of the course is to think analytically, creatively and critically in developing robust, extensible and highly maintainable technological solutions to simple and complex problems or to pursue advance studies and research in Information Technology. The syllabus which comprises of Information Technology (Major) subject along with that of three allied subjects (Mathematics, Electronics, Statistics) (Minor) covers the key aspects of Information technology and also develops the necessary professional skills and problem solving abilities using Information Technology.
Introduction:
Information Technology is the study of quantity, structure, space and change, focusing on problem solving, application development with wider scope of application in science and technology, social sciences etc. throughout the world in last couple of decades and it has carved out a space for itself like any other disciplines of basic Science and Technology.
The Students completing this programme will be able to present software application clearly and precisely, make abstract ideas precise by formulating them in the computer languages. Completion of this programme will also enable the learners to join teaching profession, enhance their employability for government jobs, jobs in software industry, banking, insurance and investment sectors, data analyst jobs and jobs in various other public and private enterprises.
At the First year, course is based on problem solving and programming along with Designing and Development Skills. Primary Concepts of C Programming, Python, Database and Computer Networking are also introduced in course. The practical courses are designed to support the theoretical training in the year.
Along with Information Technology (Major), VSC and SEC courses helps in building a personality. Another Aspect of this course is IKS which tells about the rich heritage and advancement of India in the field of computation.
At the second year, computational problem solving skills are further strengthened by course in Data Structure using python. Object Oriented Programming using Java and Programming Concepts in Database Management System are also introduced in this year.
At the third year, all the courses are designed to fulfill core Information technology requirements as well as the needs of the IT industry. Major elective courses are taking care of recent trends in the field of Information Technology.
Minor and skills Enhancement courses enable the students to acquire additional skills.
At the fourth year (Honors) and (Research), all the subjects are designed to fulfill core Information Technology requirements as well as meet the needs of the IT industry.
Practical courses and field projects enable students to get hands on training. Numerous learning tracks are open through major elective courses. Research Methodology course will create interest among a student to bring research in the field of Information Technology.
Objectives
- Equip students with the knowledge and skills to design, implement, and manage computer networks, ensuring secure and efficient communication.
- To apply their knowledge and skills to be employed and excel in IT professional careers and/or to continue their education in IT and/or related Post Graduate programs.
- It enables an IT graduate to start their own Software Development Company.
- To make the students industry ready by teaching them to apply the technologies in various fields of IT, including Mobile applications, Web site Development and Management, Databases, and Computer Networks.
Eligibility
- Higher secondary school certificate (10+2) Science or its equivalent examination with English.
OR
- Three-year diploma course from the board of technical education conducted by Government of Maharashtra or its equivalent.
OR
- Higher secondary school certificate (10+2) Examination with English and a vocational subject of +2 level (MCVC)
PO No. | Outcomes |
PO1 | Analyses a problem and identify and define the computing requirements appropriate to its solution |
PO2 | Focuses on preparing students for roles pertaining to computer applications and IT industry |
PO3 | Developing programming skills, networking skills, learn applications, programming languages and modern techniques of IT |
PO4 | Get skills and information about computers and information technology |
PO5 | Learn programming languages such as C, Python, Java, HTML, PHP, SQL, etc. |
PO6 | Information about various computer applications and latest development in IT. |
PO7 | Gives overview of the topics in IT like networking, computer graphics, web development, trouble shooting, and hardware and software skills. |
PO8 | Ability to select appropriate techniques to tackle and solve problems in the discipline of Information Technology. |
.
Name Of Faculty | Designation | Qualification | Experience | Photo |
|---|---|---|---|---|
| Mrs. Dipali L. Mahajan | Program Coordinator | M.Sc. (C.S.) SET | 16 Years | |
| Dr Anuradha Ghodke | Assistant Professor | MA MPhil PhD (English) | 16+ Years | |
| Mrs. Prajakta A Yeole | Assistant Professor | MCA | 1 Year | |
| Ms. Shivani S Tikone | Assistant Professor | M.Sc(CS) | 2 Years | |
| Mrs. Pallavi Suryawanshi | Assistant Professor | M.Sc(CS) | 8+ Years | |
| Mrs. Pallavi Patil | Assistant Professor | MCA | 4.5 Years | |
| Ms. Kanchan Patil | Assistant Professor | M.Sc. (CS) | 1.4 Years | |
Preamble
The B.Sc. (Information Technology) and B.Sc. (Information Technology) (Honors/Research) is specially structured three and four years program respectively with Information Technology as a major subject under the faculty of Science and Technology.
The objective of the course is to think analytically, creatively and critically in developing robust, extensible and highly maintainable technological solutions to simple and complex problems or to pursue advance studies and research in Information Technology. The syllabus which comprises of Information Technology (Major) subject along with that of three allied subjects (Mathematics, Electronics, Statistics) (Minor) covers the key aspects of Information technology and also develops the necessary professional skills and problem solving abilities using Information Technology.
Introduction:
Information Technology is the study of quantity, structure, space and change, focusing on problem solving, application development with wider scope of application in science and technology, social sciences etc. throughout the world in last couple of decades and it has carved out a space for itself like any other disciplines of basic Science and Technology.
The Students completing this programme will be able to present software application clearly and precisely, make abstract ideas precise by formulating them in the computer languages. Completion of this programme will also enable the learners to join teaching profession, enhance their employability for government jobs, jobs in software industry, banking, insurance and investment sectors, data analyst jobs and jobs in various other public and private enterprises.
At the First year, course is based on problem solving and programming along with Designing and Development Skills. Primary Concepts of C Programming, Python, Database and Computer Networking are also introduced in course. The practical courses are designed to support the theoretical training in the year.
Along with Information Technology (Major), VSC and SEC courses helps in building a personality. Another Aspect of this course is IKS which tells about the rich heritage and advancement of India in the field of computation.
At the second year, computational problem solving skills are further strengthened by course in Data Structure using python. Object Oriented Programming using Java and Programming Concepts in Database Management System are also introduced in this year.
At the third year, all the courses are designed to fulfill core Information technology requirements as well as the needs of the IT industry. Major elective courses are taking care of recent trends in the field of Information Technology.
Minor and skills Enhancement courses enable the students to acquire additional skills.
At the fourth year (Honors) and (Research), all the subjects are designed to fulfill core Information Technology requirements as well as meet the needs of the IT industry.
Practical courses and field projects enable students to get hands on training. Numerous learning tracks are open through major elective courses. Research Methodology course will create interest among a student to bring research in the field of Information Technology.
Objectives
- Equip students with the knowledge and skills to design, implement, and manage computer networks, ensuring secure and efficient communication.
- To apply their knowledge and skills to be employed and excel in IT professional careers and/or to continue their education in IT and/or related Post Graduate programs.
- It enables an IT graduate to start their own Software Development Company.
- To make the students industry ready by teaching them to apply the technologies in various fields of IT, including Mobile applications, Web site Development and Management, Databases, and Computer Networks.
Eligibility
- Higher secondary school certificate (10+2) Science or its equivalent examination with English.
OR
- Three-year diploma course from the board of technical education conducted by Government of Maharashtra or its equivalent.
OR
- Higher secondary school certificate (10+2) Examination with English and a vocational subject of +2 level (MCVC)
PO No. | Outcomes |
PO1 | Analyses a problem and identify and define the computing requirements appropriate to its solution |
PO2 | Focuses on preparing students for roles pertaining to computer applications and IT industry |
PO3 | Developing programming skills, networking skills, learn applications, programming languages and modern techniques of IT |
PO4 | Get skills and information about computers and information technology |
PO5 | Learn programming languages such as C, Python, Java, HTML, PHP, SQL, etc. |
PO6 | Information about various computer applications and latest development in IT. |
PO7 | Gives overview of the topics in IT like networking, computer graphics, web development, trouble shooting, and hardware and software skills. |
PO8 | Ability to select appropriate techniques to tackle and solve problems in the discipline of Information Technology. |
.
Name Of Faculty | Designation | Qualification | Experience | Photo |
|---|---|---|---|---|
| Mrs. Dipali L. Mahajan | Program Coordinator | M.Sc. (C.S.) SET | 16 Years | |
| Dr Anuradha Ghodke | Assistant Professor | MA MPhil PhD (English) | 16+ Years | |
| Mrs. Prajakta A Yeole | Assistant Professor | MCA | 1 Year | |
| Ms. Shivani S Tikone | Assistant Professor | M.Sc(CS) | 2 Years | |
| Mrs. Pallavi Suryawanshi | Assistant Professor | M.Sc(CS) | 8+ Years | |
| Mrs. Pallavi Patil | Assistant Professor | MCA | 4.5 Years | |
| Ms. Kanchan Patil | Assistant Professor | M.Sc. (CS) | 1.4 Years | |
BSc. in Nanoscience & Nanotechnology is a six-semester course: Bachelor of Science in Nanoscience & Nanotechnology is an undergraduate course. Basically, Nanotechnology is the study of manipulating matter on a molecular and atomic scale. It generally deals with structures with at least one dimension between one to a hundred nanometres and involves developing materials or technologies with at least one dimension within that scale. In the quantum domain, quantum mechanical effects are extremely relevant at this size. Nanotechnology encompasses a wide range of activities, from extending traditional device physics to new ways based on molecular self-assembly, from discovering novel nanoscale materials to determining if we can directly manipulate matter at the atomic scale.
Scope in India: Nanotechnology has ramifications in India in the fields of telecommunications, computing, aircraft, solar energy, and the environment. Nanotech’s primary contribution, on the other hand, may be observed in the fields of computers, communication, and medicine. The most important area of Nanotechnology is Nanomedicine.
- The main objective is to educate students with fundamental and applied themes in nanoscience and technology, preparing them to contribute through long-term academic and professional activities.
- Students will be trained and molded to do cutting-edge research in the interdisciplinary fields of experimental and computational nanotechnology.
- The curriculum aims to give in-depth knowledge of fundamental areas of nanoscience and technology, with a focus on nanoscale synthesis, visualization, and manipulation. It is anticipated that students will be prepared for positions in the nanomaterials, nanobiotechnology, and nanoelectronics industries. Faculty from the Chemistry and Physics Departments will teach the classes. Furthermore, guest lecturers from industry and academia will be recruited regularly to provide a broader perspective on the subject while keeping current industry requirements in mind.
General examination pattern: Generally, students are evaluated based on lab exercises, assignments, small projects, mid-semester examinations, and end-semester examinations.
- Research, development and innovation in industries based on new scientific and technical knowledge (biotechnology, microelectronics, telecommunications, energy storage, new materials, etc.) and also in innovative traditional industries (chemistry, pharmaceuticals, biomedicine, ceramics, textiles, etc.)
- Management, control and strategic planning of nanotechnological techniques, processes and products in the industries of electronics, telecommunications, biomedicine, biotechnology, pharmacology, etc.
BSc. in Nanoscience & Nanotechnology is a six-semester course: Bachelor of Science in Nanoscience & Nanotechnology is an undergraduate course. Basically, Nanotechnology is the study of manipulating matter on a molecular and atomic scale. It generally deals with structures with at least one dimension between one to a hundred nanometres and involves developing materials or technologies with at least one dimension within that scale. In the quantum domain, quantum mechanical effects are extremely relevant at this size. Nanotechnology encompasses a wide range of activities, from extending traditional device physics to new ways based on molecular self-assembly, from discovering novel nanoscale materials to determining if we can directly manipulate matter at the atomic scale.
Scope in India: Nanotechnology has ramifications in India in the fields of telecommunications, computing, aircraft, solar energy, and the environment. Nanotech’s primary contribution, on the other hand, may be observed in the fields of computers, communication, and medicine. The most important area of Nanotechnology is Nanomedicine.
- The main objective is to educate students with fundamental and applied themes in nanoscience and technology, preparing them to contribute through long-term academic and professional activities.
- Students will be trained and molded to do cutting-edge research in the interdisciplinary fields of experimental and computational nanotechnology.
- The curriculum aims to give in-depth knowledge of fundamental areas of nanoscience and technology, with a focus on nanoscale synthesis, visualization, and manipulation. It is anticipated that students will be prepared for positions in the nanomaterials, nanobiotechnology, and nanoelectronics industries. Faculty from the Chemistry and Physics Departments will teach the classes. Furthermore, guest lecturers from industry and academia will be recruited regularly to provide a broader perspective on the subject while keeping current industry requirements in mind.
General examination pattern: Generally, students are evaluated based on lab exercises, assignments, small projects, mid-semester examinations, and end-semester examinations.
- Research, development and innovation in industries based on new scientific and technical knowledge (biotechnology, microelectronics, telecommunications, energy storage, new materials, etc.) and also in innovative traditional industries (chemistry, pharmaceuticals, biomedicine, ceramics, textiles, etc.)
- Management, control and strategic planning of nanotechnological techniques, processes and products in the industries of electronics, telecommunications, biomedicine, biotechnology, pharmacology, etc.
Introduction-
The Bachelor of Science in Artificial Intelligence and Machine Learning (B.Sc. (AI & ML)) and B.Sc. (AI & ML) Honors and Research; program is designed to provide advanced education and training in the field of AI and ML.
Driven by the combination of increased access to data, computational power, and improved algorithms, Artificial Intelligence (AI) technologies are entering the mainstream of technological innovation.
These technologies include search, machine learning, and natural language processing, robotics and computer vision.
This course will also introduce the field of Machine Learning, in particular focusing on the Core concepts of supervised, unsupervised learning and reinforcement learning.
In supervised learning we will discuss algorithms which are trained on input data labeled with a desired output, for instance an image of a face and the name of the person whose face it is, and learn a function mapping from the input to the output.
Unsupervised learning aims to discover latent structure in input data where no output labels are available.
Students will learn the algorithms which underpin many popular Machine Learning techniques, as well as developing an understanding of the theoretical relationships between these algorithms.
Objectives of the Program:
The B.Sc. in Artificial Intelligence and Machine Learning (AI & ML) aims to provide students with a strong foundation in computer science, mathematics, and the theoretical and practical aspects of AI and ML.
The primary objectives of the program are:
- To build a strong foundational knowledge of core concepts in artificial intelligence, machine learning, data science, and computer programming.
- To develop analytical and problem-solving skills necessary to design, develop, and deploy AI/ML models and systems.
- To provide hands-on experience with modern tools, programming languages, and frameworks used in AI and ML through lab sessions, projects, and internships.
- To cultivate innovation and research aptitude in emerging areas of intelligent systems, deep learning, robotics, natural language processing, and more.
- To prepare students for careers in industries such as technology, healthcare, finance, and manufacturing, where AI and ML are transforming operations and decision-making.
Eligibility-
Passed Standard XII (10+2) or equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/
Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering
Graphics/ Business Studies from any recognized Board with a minimum of 50% marks or equivalent grade (45% marks or equivalent grade for Scheduled Caste/ Scheduled Tribes).
Dr. Harshita Vachhani -Head, Dept. of B.Sc. (AI/ML )
Programme Outcomes-
On the successful completion of the program, the following are the expected outcomes.
PO1: Apply basic principles of AI in solutions that require problem solving, inference, perception, knowledge representation, and learning.
PO2: Demonstrate awareness and a fundamental understanding of various applications of AI techniques in intelligent agents, expert systems, artificial neural networks and other machine learning models.
PO3: Identify problems where artificial intelligence techniques are applicable and demonstrate ability to share in discussions of AI, its current scope and limitations, and societal implications.
PO4: Demonstrate proficiency in applying scientific method to models of machine learning.
PO5: Develop an appreciation for what is involved in learning models from data by understanding a wide variety of learning algorithms and by understanding of the strengths and weaknesses of many popular machine learning approaches
PO6: To apply the algorithms to a real-world problem, optimize the models learned and report on the expected accuracy that can be achieved by applying the ML models.
PO7: Consider the pros and cons when choosing ML / AI methods for different applications
PO8: Appreciate the underlying mathematical relationships within and across Machine Learning an AI
PO8: Conduct investigations of complex problems by using research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO9: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
PO10: Communicate effectively on complex engineering activities with then engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give clear instructions.
Introduction-
The Bachelor of Science in Artificial Intelligence and Machine Learning (B.Sc. (AI & ML)) and B.Sc. (AI & ML) Honors and Research; program is designed to provide advanced education and training in the field of AI and ML.
Driven by the combination of increased access to data, computational power, and improved algorithms, Artificial Intelligence (AI) technologies are entering the mainstream of technological innovation.
These technologies include search, machine learning, and natural language processing, robotics and computer vision.
This course will also introduce the field of Machine Learning, in particular focusing on the Core concepts of supervised, unsupervised learning and reinforcement learning.
In supervised learning we will discuss algorithms which are trained on input data labeled with a desired output, for instance an image of a face and the name of the person whose face it is, and learn a function mapping from the input to the output.
Unsupervised learning aims to discover latent structure in input data where no output labels are available.
Students will learn the algorithms which underpin many popular Machine Learning techniques, as well as developing an understanding of the theoretical relationships between these algorithms.
Objectives of the Program:
The B.Sc. in Artificial Intelligence and Machine Learning (AI & ML) aims to provide students with a strong foundation in computer science, mathematics, and the theoretical and practical aspects of AI and ML.
The primary objectives of the program are:
- To build a strong foundational knowledge of core concepts in artificial intelligence, machine learning, data science, and computer programming.
- To develop analytical and problem-solving skills necessary to design, develop, and deploy AI/ML models and systems.
- To provide hands-on experience with modern tools, programming languages, and frameworks used in AI and ML through lab sessions, projects, and internships.
- To cultivate innovation and research aptitude in emerging areas of intelligent systems, deep learning, robotics, natural language processing, and more.
- To prepare students for careers in industries such as technology, healthcare, finance, and manufacturing, where AI and ML are transforming operations and decision-making.
Eligibility-
Passed Standard XII (10+2) or equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/
Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering
Graphics/ Business Studies from any recognized Board with a minimum of 50% marks or equivalent grade (45% marks or equivalent grade for Scheduled Caste/ Scheduled Tribes).
Dr. Harshita Vachhani -Head, Dept. of B.Sc. (AI/ML )
Programme Outcomes-
On the successful completion of the program, the following are the expected outcomes.
PO1: Apply basic principles of AI in solutions that require problem solving, inference, perception, knowledge representation, and learning.
PO2: Demonstrate awareness and a fundamental understanding of various applications of AI techniques in intelligent agents, expert systems, artificial neural networks and other machine learning models.
PO3: Identify problems where artificial intelligence techniques are applicable and demonstrate ability to share in discussions of AI, its current scope and limitations, and societal implications.
PO4: Demonstrate proficiency in applying scientific method to models of machine learning.
PO5: Develop an appreciation for what is involved in learning models from data by understanding a wide variety of learning algorithms and by understanding of the strengths and weaknesses of many popular machine learning approaches
PO6: To apply the algorithms to a real-world problem, optimize the models learned and report on the expected accuracy that can be achieved by applying the ML models.
PO7: Consider the pros and cons when choosing ML / AI methods for different applications
PO8: Appreciate the underlying mathematical relationships within and across Machine Learning an AI
PO8: Conduct investigations of complex problems by using research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO9: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
PO10: Communicate effectively on complex engineering activities with then engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give clear instructions.
Introduction
In today’s interconnected world, the proliferation of digital technologies has brought about unprecedented convenience and efficiency. However, this digital transformation has also led to an increase in cyber threats, making cyber security an essential field. Cyber-attacks can cause significant harm to individuals, businesses, and national security. As a result, there is a growing demand for skilled cyber security professionals who can protect sensitive information and critical infrastructure. The B.Sc. in Cyber Security program is designed to address this demand by providing students with a comprehensive education in the field. Aligned with the National Education Policy (NEP) 2020, this program emphasizes a holistic, flexible, and multidisciplinary approach to education, preparing students for the complexities of the cyber security landscape. The Program is of Three Years duration with six semesters. It is a Full-Time Degree Program. The program will be based on the Choice-based credit system comprising 140 credit points.
Objectives:
- To Develop Proficiency in Cyber Security: Equip students with the skills to protect Information systems against cyber threats and vulnerabilities.
- To provide hands-on experience with current security technologies and tools.
- To an understanding of the ethical, legal, and societal implications of cyber security practices.
- To encourage innovative problem-solving and critical analysis of security issues.
- To develop an understanding of the global context and cultural dimensions of cyber security
Intake: 80 Students
Highlights:
- Excellent Infrastructure with spacious class rooms, computer laboratory.
- Highly qualified, experienced & approved staff.
- Seminars and Guest Lectures by Industrialists and subject experts. Technical & Non-technical program are arranged to enhance the IT & soft skills.
- Project Guidance by alumni’s and industrialists. Student mentoring system for giving personal touch to each of the students.
- The faculty members provide constant support and every piece of advice to the students whenever he/she faces a problem with any aspect of the curriculum or any personal problems.
Eligibility:
- Higher secondary school certificate (10+2) or its equivalent examination with English OR
- Three-year diploma course from the board of technical education conducted by Government of Maharashtra or its equivalent OR
- Higher secondary school certificate (10+2) Examination with English and avocational subject of +2 level (MCVC)
| Name of the Faculty | Designation | Qualification | Experience | Photo |
| Mrs. Dipali L. Mahajan | Program Coordinator | M.Sc. (C.S.) SET | 16 years | |
| Dr. Aparna Joshi | Assistant Professor | M.Sc.(C.S), B.Ed, SET, Ph.D | 19 Years | |
| Mrs. Neeta Gatkal | Assistant Professor | M.Sc. (Electronics) NET | 15 years | |
| Dr Anuradha Ghodke | Assistant Professor | MA MPhil PhD (English) | 16+ years | |
| Ms. Shivani S Tikone | Assistant Professor | M.Sc(CS) | 2 years | |
| Mrs. Pallavi Suryawanshi | Assistant Professor | M.Sc(CS) | 8+ years | |
| Mrs. Pallavi Patil | Assistant Professor | MCA | 4.5 Years | |
| Mrs. Prajakta A Yeole | Assistant Professor | MCA | 1 years | |
| Ms. Kanchan Patil | Assistant Professor | M.Sc(CS) | 1.4 Years | |
| Mrs. Madhuri Chaudhari | Assistant Professor | MCA, Pursuing Ph.D | 10+ Years | |
| Mrs. Mayura Sawant | Assistant Professor | M.Sc(CS) | 9 Years | |
IT Resources:
Sr. No. | Name | Total No of License |
01 | Antivirus Software: Quick heal Seqrite for Windows | Admin Console 500/- Copies 2 |
02 | Microsoft | Campus Agreement 3 |
03 | Linux Kali | Open Sources |
Physical Facilities
1. No. of ICT enabled classrooms: 3 |
2. No. of Laboratories: 3 |
3. Lab 403 (Capacity – 70) |
4. Lab 404 (Capacity – 70) |
5. S4 Lab (Capacity – 40) |
6. Electronic Lab (Capacity – 40) |
Introduction-
The Bachelor of Science in Artificial Intelligence and Machine Learning (B.Sc. (AI & ML)) and B.Sc. (AI & ML) Honors and Research; program is designed to provide advanced education and training in the field of AI and ML.
Driven by the combination of increased access to data, computational power, and improved algorithms, Artificial Intelligence (AI) technologies are entering the mainstream of technological innovation.
These technologies include search, machine learning, and natural language processing, robotics and computer vision.
This course will also introduce the field of Machine Learning, in particular focusing on the Core concepts of supervised, unsupervised learning and reinforcement learning.
In supervised learning we will discuss algorithms which are trained on input data labeled with a desired output, for instance an image of a face and the name of the person whose face it is, and learn a function mapping from the input to the output.
Unsupervised learning aims to discover latent structure in input data where no output labels are available.
Students will learn the algorithms which underpin many popular Machine Learning techniques, as well as developing an understanding of the theoretical relationships between these algorithms.
Objectives of the Program:
The B.Sc. in Artificial Intelligence and Machine Learning (AI & ML) aims to provide students with a strong foundation in computer science, mathematics, and the theoretical and practical aspects of AI and ML.
The primary objectives of the program are:
- To build a strong foundational knowledge of core concepts in artificial intelligence, machine learning, data science, and computer programming.
- To develop analytical and problem-solving skills necessary to design, develop, and deploy AI/ML models and systems.
- To provide hands-on experience with modern tools, programming languages, and frameworks used in AI and ML through lab sessions, projects, and internships.
- To cultivate innovation and research aptitude in emerging areas of intelligent systems, deep learning, robotics, natural language processing, and more.
- To prepare students for careers in industries such as technology, healthcare, finance, and manufacturing, where AI and ML are transforming operations and decision-making.
Eligibility-
Passed Standard XII (10+2) or equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/
Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering
Graphics/ Business Studies from any recognized Board with a minimum of 50% marks or equivalent grade (45% marks or equivalent grade for Scheduled Caste/ Scheduled Tribes).
Dr. Harshita Vachhani -Head, Dept. of B.Sc. (AI/ML )
Programme Outcomes-
On the successful completion of the program, the following are the expected outcomes.
PO1: Apply basic principles of AI in solutions that require problem solving, inference, perception, knowledge representation, and learning.
PO2: Demonstrate awareness and a fundamental understanding of various applications of AI techniques in intelligent agents, expert systems, artificial neural networks and other machine learning models.
PO3: Identify problems where artificial intelligence techniques are applicable and demonstrate ability to share in discussions of AI, its current scope and limitations, and societal implications.
PO4: Demonstrate proficiency in applying scientific method to models of machine learning.
PO5: Develop an appreciation for what is involved in learning models from data by understanding a wide variety of learning algorithms and by understanding of the strengths and weaknesses of many popular machine learning approaches
PO6: To apply the algorithms to a real-world problem, optimize the models learned and report on the expected accuracy that can be achieved by applying the ML models.
PO7: Consider the pros and cons when choosing ML / AI methods for different applications
PO8: Appreciate the underlying mathematical relationships within and across Machine Learning an AI
PO8: Conduct investigations of complex problems by using research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO9: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
PO10: Communicate effectively on complex engineering activities with then engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give clear instructions.
Introduction
Welcome to the B.Sc.(Data Science) programme! This programme is designed to empower students with knowledge and skills required to thrive in an era of data science and technology. By choosing B.Sc. (Data Science) Programme, students enter into the dynamic field of data science and data analytics. Students will engage and build strong foundation in mathematics, statistics, computer science and ethical data practices. This programme not only equips students with technical expertise but also fosters a mindset of continuous learning, adaptability and ethical leadership.
Why Choose B.Sc. in Data Science?
- High Demand – Skilled data professionals are needed worldwide, with roles often offering remote work flexibility.
- Lucrative Career Opportunities – Students can work as data scientists, machine learning engineers, data analysts, AI specialists, or business intelligence analysts.
- Cross-Disciplinary Applications – Data science is used in everything from disease prediction to stock market analysis, climate modeling to customer behavior prediction, sports to Government and many more.
- Global Career Mobility – It enhances your credibility in the job market and can fast-track immigration pathways in tech-focused countries.
Career Scope
- Private Sector Opportunities –
- Corporate Roles
- Industry Applications
- Global Opportunities
- Start a data analytics or AI-driven startup.
- Work as a freelance consultant offering specialized data science services
- Government and Public Sector Careers
- Data Officer/Analyst Roles
- Research Organizations
- Competitive Exam-Based Roles
- Public Health and Policy
- Higher Education
- Master’s in Data Science, AI, or Machine Learning.
- M.B.A
- PhD for advanced research and academic careers
Other features
- Field Visits – NSO, Onion Garlic Research Centre, Vasantdada Sugar Institute and many more
- Projects & Research Work – Student friendly Faculty Members who help in projects and research work.
- Practicals – Practicals are conducted in R, Python and Other Softwares. (One Student – One Desktop)
Objectives of B.Sc. Data Science
The primary objectives of a B. Sc. data science course are to equip individuals with the skills to extract, analyze, and interpret data, ultimately driving informed decision-making and problem-solving. These courses aim to develop expertise in statistical analysis, machine learning, data visualization, and data wrangling, while also fostering an understanding of the ethical considerations within data science.
Core Data Science Skills:
- Data Extraction and Preparation:
Learning how to gather, clean, and transform raw data into a usable format.
- Statistical Analysis:
Understanding and applying statistical methods to analyze data, identify patterns, and draw inferences.
- Machine Learning:
Developing skills in building and applying machine learning models for prediction, classification, and other analytical tasks.
- Data Visualization:
Creating effective visualizations to communicate insights and trends from data.
- Data Mining:
Exploring and discovering patterns and relationships within large datasets.
Broader Objectives:
- Informed Decision Making:
Using data analysis to support better business decisions, improve processes, and optimize outcomes.
- Problem Solving:
Applying data science techniques to solve real-world problems across various domains.
- Ethical Considerations:
Understanding the ethical implications of data collection, analysis, and usage, including issues like privacy and bias.
- Communication of Results:
Effectively communicating data-driven insights and recommendations to both technical and non-technical audiences.
- Real-World Applications:
Gaining experience in applying data science techniques to practical scenarios and industries.
Eligibility
(a) Higher Secondary School Certificate (10+2) Science Stream or its equivalent examination
OR
(b) Three Years Diploma Course after S.S.C. (10th standard) of Board of Technical Education conducted by Government of Maharashtra or its equivalent
Introduction-
The Bachelor of Science in Artificial Intelligence and Machine Learning (B.Sc. (AI & ML)) and B.Sc. (AI & ML) Honors and Research; program is designed to provide advanced education and training in the field of AI and ML.
Driven by the combination of increased access to data, computational power, and improved algorithms, Artificial Intelligence (AI) technologies are entering the mainstream of technological innovation.
These technologies include search, machine learning, and natural language processing, robotics and computer vision.
This course will also introduce the field of Machine Learning, in particular focusing on the Core concepts of supervised, unsupervised learning and reinforcement learning.
In supervised learning we will discuss algorithms which are trained on input data labeled with a desired output, for instance an image of a face and the name of the person whose face it is, and learn a function mapping from the input to the output.
Unsupervised learning aims to discover latent structure in input data where no output labels are available.
Students will learn the algorithms which underpin many popular Machine Learning techniques, as well as developing an understanding of the theoretical relationships between these algorithms.
Objectives of the Program:
The B.Sc. in Artificial Intelligence and Machine Learning (AI & ML) aims to provide students with a strong foundation in computer science, mathematics, and the theoretical and practical aspects of AI and ML.
The primary objectives of the program are:
- To build a strong foundational knowledge of core concepts in artificial intelligence, machine learning, data science, and computer programming.
- To develop analytical and problem-solving skills necessary to design, develop, and deploy AI/ML models and systems.
- To provide hands-on experience with modern tools, programming languages, and frameworks used in AI and ML through lab sessions, projects, and internships.
- To cultivate innovation and research aptitude in emerging areas of intelligent systems, deep learning, robotics, natural language processing, and more.
- To prepare students for careers in industries such as technology, healthcare, finance, and manufacturing, where AI and ML are transforming operations and decision-making.
Eligibility-
Passed Standard XII (10+2) or equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/
Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering
Graphics/ Business Studies from any recognized Board with a minimum of 50% marks or equivalent grade (45% marks or equivalent grade for Scheduled Caste/ Scheduled Tribes).
Dr. Harshita Vachhani -Head, Dept. of B.Sc. (AI/ML )
Programme Outcomes-
On the successful completion of the program, the following are the expected outcomes.
PO1: Apply basic principles of AI in solutions that require problem solving, inference, perception, knowledge representation, and learning.
PO2: Demonstrate awareness and a fundamental understanding of various applications of AI techniques in intelligent agents, expert systems, artificial neural networks and other machine learning models.
PO3: Identify problems where artificial intelligence techniques are applicable and demonstrate ability to share in discussions of AI, its current scope and limitations, and societal implications.
PO4: Demonstrate proficiency in applying scientific method to models of machine learning.
PO5: Develop an appreciation for what is involved in learning models from data by understanding a wide variety of learning algorithms and by understanding of the strengths and weaknesses of many popular machine learning approaches
PO6: To apply the algorithms to a real-world problem, optimize the models learned and report on the expected accuracy that can be achieved by applying the ML models.
PO7: Consider the pros and cons when choosing ML / AI methods for different applications
PO8: Appreciate the underlying mathematical relationships within and across Machine Learning an AI
PO8: Conduct investigations of complex problems by using research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO9: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
PO10: Communicate effectively on complex engineering activities with then engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give clear instructions.